Patent Publication Number: US-2022224917-A1

Title: Transmitting apparatus, receiving apparatus, and transmission system

Description:
TECHNICAL FIELD 
     The present disclosure relates to a transmitting apparatus, a receiving apparatus, and a transmission system. 
     BACKGROUND ART 
     In recent years, there have been growing applications in which large amounts of data are transmitted in bulk. Such applications tend to pose large loads on the transmission system, possibly causing the transmission system to go down in worst-case scenarios and fail to perform data transmission. 
     To avoid transmission system shutdowns, it has been known in the art to specify an object as an imaging target and transmit only a partial image of the specified object that has been segmented, rather than transmitting an entire captured image (see, for example, PTL 1 through PTL 4). Moreover, PTL 5 discloses a technology in which hues are accurately expressed for clearer images by the automatic adjustment of white balance. 
     CITATION LIST 
     Patent Literature 
     [PTL 1] 
     Japanese Patent Laid-open No. 2016-201756 
     [PTL 2] 
     Japanese Patent Laid-open No. 2014-39219 
     [PTL 3] 
     Japanese Patent Laid-open No. 2013-164834 
     [PTL 4] 
     Japanese Patent Laid-open No. 2012-209831 
     [PTL 5] 
     Japanese Patent Laid-open No. 2008-171732 
     SUMMARY 
     Technical Problem 
     Nothing has been examined about an image quality adjustment process such as white balance in a case where a partial region of interest (ROI) segmented from a captured image is transmitted. 
     It is an object of the present disclosure to provide a transmitting apparatus, a receiving apparatus, and a transmission system that are capable of performing an image quality adjustment process on a partial region of interest (ROI) segmented from a captured image. 
     Solution to Problem 
     A transmitting apparatus according to an aspect of the present disclosure includes a controlling section that controls acquisition of image quality adjusting information including information for use in adjusting image quality of each of a plurality of ROIs (Regions of Interest), and a transmitting section that sends out image data of the plurality of ROIs as payload data and sends out ROI information of each of the plurality of ROIs as embedded data. 
     A receiving apparatus according to an aspect of the present disclosure includes a receiving section that receives a transmission signal including image data of a plurality of ROIs (Regions Of Interest) in payload data and including ROI information of each of the plurality of ROIs in embedded data, a controlling section that controls extraction of image quality adjusting information including information for use in adjusting image quality of the plurality of ROIs from the transmission signal received by the receiving section, and a processing section that performs an adjustment of the image quality of the plurality of ROIs using the image quality adjusting information extracted by the controlling section. 
     A transmission system according to an aspect of the present disclosure includes a transmitting apparatus including a controlling section that controls acquisition of image quality adjusting information including information for use in adjusting image quality of each of a plurality of ROIs (Regions of Interest), and a transmitting section that sends out image data of the plurality of ROIs as payload data and sends out ROI information of each of the plurality of ROIs as embedded data, and a receiving section that receives a transmission signal including image data of a plurality of ROIs (Regions Of Interest) in payload data and including ROI information of each of the plurality of ROIs in embedded data, a controlling section that controls extraction of image quality adjusting information including information for use in adjusting image quality of the plurality of ROIs from the transmission signal received by the receiving section, and a processing section that performs an adjustment of the image quality of the plurality of ROIs using the image quality adjusting information extracted by the controlling section. 
    
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
         FIG. 1  is a diagram illustrating a general configurational example of a video transmission system. 
         FIG. 2  is a diagram illustrating a general configurational example of a video transmitting apparatus illustrated in  FIG. 1 . 
         FIG. 3  is a diagram illustrating an example of a procedure for generating transmission data when two ROIs are included in a captured image. 
         FIG. 4  is a diagram illustrating a configurational example of a packet header. 
         FIG. 5  is a diagram illustrating a configurational example of transmission data. 
         FIG. 6  is a diagram illustrating a configurational example of transmission data. 
         FIG. 7  is a diagram illustrating a configurational example of the payload data of a long packet. 
         FIG. 8  is a diagram illustrating a general configurational example of a video receiving apparatus illustrated in  FIG. 1 . 
         FIG. 9  is a diagram illustrating an example of a procedure for generating two ROI images included in a captured image when two images are included in transmission data. 
         FIG. 10  is a diagram schematically illustrating regions where objects specified in a captured image are placed. 
         FIG. 11  is a diagram illustrating an example of ROIs established with respect to the specified objects. 
         FIG. 12  is a diagram illustrating a configurational example of transmission data where the positional information of ROI images is included in the payload data of a long packet. 
         FIG. 13  is a diagram illustrating the principles of an image quality adjusting process according to an embodiment. 
         FIG. 14  is a block diagram illustrating a general makeup of a transmitting apparatus, a receiving apparatus, and a transmission system according to the embodiment. 
         FIG. 15  is a flowchart illustrating an example of sequence of an image quality adjusting process in the transmitting apparatus, the receiving apparatus, and the transmission system according to the embodiment. 
         FIG. 16  is a diagram illustrating the principles of an image quality adjusting process according to a modification of the embodiment. 
     
    
    
     DESCRIPTION OF EMBODIMENTS 
     Modes for carrying out the present disclosure will be described in detail hereinbelow with reference to the drawings. The description given below applies to specific examples of the present disclosure, and the present disclosure is not limited to the aspects illustrated below. 
     The modes for carrying out the technology according to the present disclosure (hereinafter referred to as “embodiments”) will be described hereinbelow in the following order: 
     1. Technology  1  that is presupposed for the present disclosure (technology for transmitting a partial region (rectangular in shape) of interest (ROI) segmented from a captured image) 
     2. Technology  2  that is presupposed for the present disclosure (technology for transmitting a partial region (non-rectangular in shape) of interest (ROI) segmented from a captured image) 
     3. A transmitting apparatus, a receiving apparatus, and a transmission system according to an embodiment of the present disclosure 
     4. Principles of an image quality adjusting process in a transmitting apparatus, a receiving apparatus, and a transmission system according to a modification of the embodiment of the present disclosure 
     1. Technology  1  that is Presupposed for the Present Disclosure 
     [Configuration] 
     In recent years, portable devices such as smartphones and camera devices have been handling progressively larger quantities of image data, and are required to speed up and consume less electric power for data transmission within themselves or between different devices. In order to meet such requirements, standardization is under way for high-speed interface standards such as C-PHY standards and D-PHY standards established by MIPI Alliance as connection interfaces for potable deices and camera devices. The C-PHY standards and D-PHY standards are interface standards for physical layers (PHY) of communication protocols. In addition, DSI for the displays of portable devices and CSI for camera devices are present as higher protocol layers than the C-PHY standards and D-PHY standards. 
     A video transmission system  1  according to the technology that is presupposed for the present disclosure includes a system for transmitting and receiving signals according to various standards, and can transmit and receive signals according to the MIPI CSI-2 standards, the MIPI CSI-3 standards, or the MIPI DSI standards, for example.  FIG. 1  illustrates a general configuration of the video transmission system  1  according to the technology that is presupposed for the present disclosure. The video transmission system  1  is applied to the transmission of data signals, clock signals, and control signals, and includes a video transmitting apparatus  100  and a video receiving apparatus  200 . The video transmission system  1  includes a data lane DL for transmitting data signals representing image data etc., a clock lane CL for transmitting clock signals, and a camera control interface CCI for transmitting control signals, for example, between the video transmitting apparatus  100  and the video receiving apparatus  200 . Though  FIG. 1  illustrates an example in which one data lane DL is provided, a plurality of data lanes DL may be provided. The camera control interface CCI includes a bidirectional control interface compatible with the I 2 C (Inter-Integrated Circuit) standards. 
     The video transmitting apparatus  100  includes an apparatus for sending out signals according to the MIPI CSI-2 standards, the MIPI CSI-3 standards, or the MIPI DSI standards. The video transmitting apparatus  100  has a CSI transmitter  100 A and a CCI slave  100 B. The video receiving apparatus  200  has a CSI receiver  200 A and a CCI master  200 B. In the clock lane CL, the CSI transmitter  100 A and the CSI receiver  200 A are connected to each other by a clock signal line. In the data lane DL, the CSI transmitter  100 A and the CSI receiver  200 A are connected to each other by a clock signal line. In the camera control interface CCI, the CCI slave  100 B and the CCI master  200 B are connected to each other by a control signal line. 
     The CSI transmitter  100 A includes a differential signal transmitting circuit for generating a differential clock signal as a clock signal and outputting the generated differential clock signal to the clock signal line, for example. The CSI transmitter  100 A may not necessarily transmit a differential signal, but may transmit a single-ended or three-phase signal. The CSI transmitter  100 A also includes a differential signal transmitting circuit for generating a differential data signal as a data signal and outputting the generated differential data signal to the data signal line, for example. The CSI receiver  200 A includes a differential signal receiving circuit for receiving a differential clock signal as a clock signal and performing a predetermined processing process on the received differential clock signal. The CSI receiver  200 A also includes a differential signal receiving circuit for receiving a differential data signal as a data signal and performing a predetermined processing process on the received differential data signal. 
     (Video Transmitting Apparatus  100 ) 
       FIG. 2  illustrates a configurational example of the video transmitting apparatus  100 . The video transmitting apparatus  100  corresponds to a specific example of the CSI transmitter  100 A. The video transmitting apparatus  100  includes an image capturing section  110 , image processing sections  120  and  130 , and a transmitting section  140 , for example. The video transmitting apparatus  100  transmits transmission data  147 A generated by performing a predetermined processing process on a captured image  111  obtained by the image capturing section  110  through the data line DL to the video receiving apparatus  200 .  FIG. 3  illustrates an example of a procedure for generating the transmission data  147 A. 
     The image capturing section  110  converts an optical image obtained through an optical lens into image data, for example. The image capturing section  110  includes a CCD (Charge Coupled Device) image sensor or a CMOS (Complementary Metal Oxide Semiconductor) image sensor. The image capturing section  110  has an analog-to-digital converting circuit that converts analog image data into digital image data. The converted image data may be of a YCbCr data format that represents the colors of pixels with a luminance component Y and color difference components Cb and Cr, or may be of a RGB data format. The image capturing section  110  outputs the captured image  111  (digital image data) obtained by image capturing to the image processing section  120 . 
     The image processing section  120  includes a circuit for performing a predetermined processing process on the captured image  111  input from the image capturing section  110 . According to the presupposed technology  1 , the image processing section  120  performs a predetermined processing process on the captured image  111  input from the image capturing section  110  in a case where a control signal instructing the image processing section  120  to segment ROIs is input from the video receiving apparatus  200  through the camera control interface CCI. However, the presupposed technology  1  is also applicable where the video transmitting apparatus  100 , i.e., the transmission side, determines coordinates for segmenting ROIs. In this case, the transmission side receives information representing “persons” or “objects” to be acquired by ROIs sent out from the reception side, and makes a decision and determines segmenting coordinates, for example. The video receiving apparatus  200  thus generates various kinds of data ( 120 A,  120 B and  120 C) and outputs them to the transmitting section  140 . The image processing section  130  includes a circuit for performing a predetermined processing process on the captured image  111  input from the image capturing section  110 . The image processing section  130  performs a predetermined processing process on the captured image  111  input from the image capturing section  110  in a case where a control signal instructing the image processing section  130  to output normal images is input from the video receiving apparatus  200  through the camera control interface CCI. The image processing section  130  thus generates image data  130 A and outputs them to the transmitting section  140 . 
     The image processing section  130  has an encoding section  131 , for example. The encoding section  131  encodes the captured image  111  to generate compressed image data  130 A. The image processing section  130  compresses the captured image  111  in a compression format that conforms to the JPEG (Joint Photographic Experts Group) standards, for example, as the format of the compressed image data  130 A. 
     The image processing section  120  has a ROI segmenting section  121 , a ROI analyzing section  122 , an overlap detecting section  123 , a priority setting section  124 , an encoding section  125 , and an image processing controlling section  126 , for example. 
     The ROI segmenting section  121  specifies an image or a plurality of images as an imaging target or targets included in the captured image  111  input from the image capturing section  110 , and establishes a region of interest ROI per specified object. A region of interest ROI refers to a square-shaped region including a specified object, for example. The ROI segmenting section  121  specifies an image of each region of interest ROI (for example, a ROI image  112  in  FIG. 3 ) from the captured image  111 . The ROI segmenting section  121  further assigns a region number as an identifier to each established region of interest ROI. For example, in a case where the ROI segmenting section  121  has established two regions of interest ROI in the captured image  111 , the ROI segmenting section  121  assigns a region number  1  to one of the regions of interest ROI (for example, a region of interest ROI 1  in  FIG. 3 ) and assigns a region number  2  to the other region of interest ROI (for example, a region of interest ROI 2  in  FIG. 3 ). The ROI segmenting section  121  stores the assigned identifiers (region numbers) in a storage section, for example. For example, the ROI segmenting section  121  stores each ROI image  112  segmented from the captured image  111  in the storage section. Furthermore, for example, the ROI segmenting section  121  stores the identifier (region number) assigned to each region of interest ROI, in the storage section in association with the ROI image  112 . 
     The ROI analyzing section  122  derives positional information  113  of each region of interest ROI in the captured image  111 . The positional information  113  includes, for example, the left upper end coordinates (Xa, Ya) of the region of interest ROI, the length in an X-axis direction of the region of interest ROI, and the length in a Y-axis direction of the region of interest ROI. The length in the X-axis direction of the region of interest ROI refers, for example, to the physical region length XLa in the X-axis direction of the region of interest ROI. The length in the Y-axis direction of the region of interest ROI refers, for example, to the physical region length YLa in the Y-axis direction of the region of interest ROI. The physical region length represents the physical length, i.e., data length, of the region of interest ROI. The positional information  113  may include the coordinates of a position different from the left upper end of the region of interest ROI. The ROI analyzing section  122  stores the derived positional information in the storage section, for example. The ROI analyzing section  122  stores the derived positional information in the storage section in association with the identifier, i.e., region number, assigned to the region of interest ROI. 
     The ROI analyzing section  122  may further derive, as the positional information  113  per region of interest ROI, the output region length XLc in the X-axis direction of the region of interest ROI and the output region length YLc in the Y-axis direction of the region of interest ROI, for example. The output region length represents the physical length, i.e., data length, of the region of interest ROI after the resolution of the region of interest ROI has been changed by a decimating process or an addition of pixels, for example. The ROI analyzing section  122  may derive, for example, as the positional information  113  per region of interest ROI, sensing information, exposure information, gain information, AD (Analog-Digital) word length, image format, etc., for example, and store them in the storage section. 
     The sensing information refers to the contents of calculations about objects included in the region of interest ROI and additional information of a subsequent signal processing process on the ROI image  112 . The exposure information refers to an exposure time of the region of interest ROI. The gain information refers to gain information of the region of interest ROI. The AD word length refers to the word length of data per pixel AD-converted in the region of interest ROI. The image format refers to the format of the image of the region of interest ROI. The ROI analyzing section  122  may, for example, derive the number of regions of interest ROI (the number of ROIs) included in the captured image  111  and store the number of ROIs in the storage section. 
     When a plurality of objects is specified as imaging targets in the captured image  111 , the overlap detecting section  123  detects a region of overlap (ROO (Region of Overlap)) where two or more regions of interest ROI overlap each other on the basis of the positional information  113  of a plurality of regions of interest ROI in the captured image  111 . Specifically, the overlap detecting section  123  derives positional information  114  of each region of overlap ROO in the captured image  111 . 
     The overlap detecting section  123  stores the derived positional information  114  in the storage section, for example. For example, the overlap detecting section  123  stores the derived positional information  114  in the storage section in corresponding relation to the region of overlap ROO. The region of overlap ROO refers to a square-shaped region identical or smaller in size to the smallest region of interest ROI among two or more regions of interest ROI that overlap each other. The positional information  114  includes, for example, the left upper end coordinates (Xb, Yb) of the region of overlap ROO, the length in the X-axis direction of the region of overlap ROO, and the length in the Y-axis direction of the region of overlap ROO. The length in the X-axis direction of the region of overlap ROO refers, for example, to the physical region length XLb. The length in the Y-axis direction of the region of overlap ROO refers, for example, to the physical region length YLb. The positional information  114  may include the coordinates of a position different from the left upper end of the region of interest ROI. 
     The priority setting section  124  assigns a priority  115  to each region of interest ROI in the captured image  111 . The priority setting section  124  stores the assigned priority  115  in the storage section, for example. For example, the priority setting section  124  stores the assigned priority  115  in the storage section in corresponding relation to the region of interest ROI. The priority setting section  124  may assign a priority  115  to each region of interest ROI separately from the region number assigned to each region of interest ROI, or may use the region number assigned to each region of interest ROI instead of a priority  115 . The priority setting section  124  may, for example, store the priority  115  in the storage section in association with the region of interest ROI or may store the region number assigned to each region of interest ROI in the storage section in association with the region of interest ROI. 
     The priority  115  refers to an identifier of each region of interest ROI, and represents discriminating information for discriminating which one of a plurality of regions of interest ROI in the captured image  111  a region of overlap ROO has been eliminated from. For example, the priority setting section  124  assigns “1” as a priority  115  to one of two regions of interest ROI each including a region of overlap ROO and assigns “2” as a priority  115  to the other region of interest ROI. In this case, a region of overlap ROO is eliminated with respect to a region of interest ROI where the numerical value of the priority  115  is larger in generating a transmission image  116  to be described later. Incidentally, the priority setting section  124  may assign the same number as the region number assigned to each region of interest ROI as a priority  115  to the region of interest ROI. For example, the priority setting section  124  stores the priority  115  assigned to each region of interest ROI in the storage section in association with the ROI image  112 . 
     The encoding section  125  encodes each transmission image  116  to generate compressed image data  120 A. The encoding section  125  compresses each transmission image  116  in a compression format that conforms to the JPEG standards, for example, as the format of the compressed image data  120 A. Before performing the above compression process, the encoding section  125  generates each transmission image  116 . In order that an image  118  of a region of overlap ROO will not overlappingly be included in a plurality of ROI images  112  obtained from the captured image  111 , the encoding section  125  generates a plurality of transmission images  116  where the image  118  has been eliminated from the plurality of ROI images  112  obtained from the captured image  111 . 
     The encoding section  125  determines which one of a plurality of ROI images  112  the image  118  is to be eliminated from, on the basis of the priority  115  assigned to each region of interest ROI, for example. The encoding section  125  may determine, for example, which one of a plurality of ROI images  112  the image  118  is to be eliminated from, by using the region number assigned to each region of interest ROI as a priority  115 . The encoding section  125  uses the ROI image  112  as specified above from which the image  118  has been eliminated as a transmission image  116  (for example, a transmission image  116   a   2  in  FIG. 3 ). The encoding section  125  uses the ROI image  112  that does not include a region of overlap ROO or the ROI image  112  which the image  118  has not been eliminated from as determined above, as a transmission image  116  (for example, a transmission image  116   a   1  in  FIG. 3 ). 
     The image processing controlling section  126  generates ROI information  120 B and frame information  120 C and transmits them to the transmitting section  140 . The ROI information  120 B includes each positional information  113 , for example. Furthermore, the ROI information  120 B includes at least one of the data type of each region of interest ROI, the number of regions of interest ROI included in the captured image  111 , the region number (or the priority  115 ) of each region of interest ROI, the data length of each region of interest ROI, and the image format of each region of interest ROI. The frame information  120 C includes the number of a virtual channel assigned to each frame, the data type of each region of interest ROI, the payload length per line, etc., for example. The data type includes YUV data, RGB data, or RAW data, for example. Furthermore, the data type includes data of the ROI format, data of the normal format, etc., for example. The payload length represents the number of pixels included in the payload of a long packet, e.g., the number of pixels per region of interest ROI. The payload refers to major data (application data) transmitted between the video transmitting apparatus  100  and the video receiving apparatus  200 . The long packet refers to a packet disposed between a packet header PH and a packet footer PF. 
     The transmitting section  140  includes a circuit for generating and sending out transmission data  147 A on the basis of various kinds of data (data  120 A,  120 B,  120 C and  130 A) input from the image processing sections  120  and  130 . The transmitting section  140  sends out the ROI information  120 B regarding each region of interest ROI in the captured image  111  as embedded data. Furthermore, in a case where a control signal indicating the segmentation of ROIs is input from the video receiving apparatus  200  via the camera control interface CCI, the transmitting section  140  sends out the image data (compressed image data  120 A) of each region of interest ROI as the payload data of a long packet. At this time, the transmitting section  140  sends out the image data (compressed image data  120 A) of each region of interest ROI in a common virtual channel. Furthermore, the transmitting section  140  sends out the image data (compressed image data  120 A) of each region of interest ROI as an image data frame, and sends out the ROI information  120 B regarding each region of interest ROI as the header of an image data frame. Furthermore, in a case where a control signal indicating the outputting of a normal image is input from the video receiving apparatus  200  via the camera control interface CCI, the transmitting section  140  sends out normal image data (compressed image data  130 A) as the payload data of a long packet. 
     The transmitting section  140  has a LINK controlling section  141 , an ECC generating section  142 , a PH generating section  143 , an EBD buffer  144 , a ROI data buffer  145 , a normal image data buffer  146 , and a combining section  147 . In a case where a control signal indicating the segmentation of ROIs is input from the video receiving apparatus  200  via the camera control interface CCI, the LINK controlling section  141 , the ECC generating section  142 , the PH generating section  143 , the EBD buffer  144 , and the ROI data buffer  145  output data to the combining section  147 . In a case where a control signal indicating the outputting of a normal image is input from the video receiving apparatus  200  via the camera control interface CCI, the normal image data buffer  146  outputs data to the combining section  147 . 
     It is noted that the ROI data buffer  145  may doubles as the normal image data buffer  146 . In this case, the transmitting section  140  may have a selector for selecting the output from either one of the ROI data buffer  145  and the ROI data buffer  145 , between the output terminals of the ROI data buffer  145  and the ROI data buffer  145  and an input terminal of the combining section  147 . 
     The LINK controlling section  141  outputs the frame information  120 C per line to the LINK controlling section  141  and the ECC generating section  142 , for example. The ECC generating section  142  generates an error correcting code for a line in the frame information  120 C, for example, on the basis of the data of the line, e.g., the number of the virtual channel, the data type of each region of interest ROI, the payload length per line, etc. The ECC generating section  142  outputs the generated error correcting code to the PH generating section  143 , for example. The PH generating section  143  generates a packet header PH per line using the frame information  120 C and the error correcting code generated by the ECC generating section  142 , for example. At this time, as illustrated in  FIG. 4 , for example, the packet header PH includes a packet header of the payload data of a long packet. The packet header PH includes DI, WC, and ECC, for example. WC represents an area for indicating the end of a packet with the number of words to the video receiving apparatus  200 . WC includes a payload length, for example, and includes the number of pixels per region of interest ROI, for example. ECC represents an area for storing a value for correcting a bit error. ECC includes an error correcting code. DI represents an area for storing a data identifier. DI includes the number of a VC (virtual channel) and DataType (data type of each region of interest ROI). VC (virtual channel) refers to a concept introduced for flow control of packets and represents a mechanism for supporting a plurality of independent data streams that shares one link. The PH generating section  143  outputs the generated packet header PH to the combining section  147 . 
     The EBD buffer  144  primarily stores ROI information  120 B and outputs the ROI information  120 B as embedded data to the combining section  147 . The embedded data refer to additional information that can be embedded in the header or footer of an image data frame (see  FIG. 5  to be described later). The embedded data include ROI information  120 B, for example. 
     The ROI data buffer  145  primarily stores compressed image data  120 A and outputs the compressed image data  120 A at predetermined timing as the payload data of a long packet to the combining section  147 . In a case where a control signal indicating the segmentation of ROIs is input from the video receiving apparatus  200  via the camera control interface CCI, the ROI data buffer  145  outputs the compressed image data  120 A as the payload data of a long packet to the combining section  147 . The normal image data buffer  146  primarily stores compressed image data  130 A and outputs the compressed image data  130 A at predetermined timing as the payload data of a long packet to the combining section  147 . In a case where a control signal indicating the outputting of a normal image is input from the video receiving apparatus  200  via the camera control interface CCI, the normal image data buffer  146  outputs the compressed image data  130 A as the payload data of a long packet to the combining section  147 . 
     In a case where a control signal indicating the outputting of a normal image is input from the video receiving apparatus  200  via the camera control interface CCI, the combining section  147  generates transmission data  147 A on the basis of input data (compressed image data  130 A). The combining section  147  outputs the generated transmission data  147 A to the video receiving apparatus  200  via the data lane DL. On the other hand, in a case where a control signal indicating the segmentation of ROIs is input from the video receiving apparatus  200  via the camera control interface CCI, the combining section  147  generates transmission data  147 A on the basis of various input data (a packet header PH, ROI information  120 B, and compressed image data  120 A). The combining section  147  outputs the generated transmission data  147 A to the video receiving apparatus  200  via the data lane DL. Specifically, the combining section  147  includes DataType (data type of each region of interest ROI) in the packet header PH of the payload data of a long packet and sends out the data. Furthermore, the combining section  147  sends out image data (compressed image data  120 A) of each region of interest ROI in a common virtual channel. 
     The transmission data  147 A include an image data frame as illustrated in  FIG. 5 , for example. The image data frame normally has a header area, a packet area, and a footer area. In  FIG. 5 , the footer area is omitted from illustration for the sake of convenience. The frame header area R 1  of the transmission data  147 A includes embedded data. At this time, the embedded data include ROI information  120 B. In  FIG. 5 , the packet area R 2  of the transmission data  147 A includes the payload data of a long packet per line, and also include a packet header PH and a packet footer PF at positions sandwiching the payload data of a long packet. Furthermore, the packet area R 2  includes low power modes LP at positions sandwiching the packet header PH and the packet footer PF. 
     At this time, the packet header PH includes DI, WC, and ECC, for example. WC includes a payload length, for example, and includes the number of pixels per region of interest ROI, for example. ECC includes an error correcting code. DI includes the number of a VC (virtual channel) and DataType (data type of each region of interest ROI). According to the present embodiment, the number of a common virtual channel is assigned to a VC of each line. In  FIG. 5 , the packet area R 2  of the transmission data  147 A includes compressed image data  147 B. The compressed image data  147 B includes one compressed image data  120 A or a plurality of compressed image data  120 A. Here in  FIG. 5 , a packet group closer to the packet header PH includes compressed image data  120 A ( 120 A 1 ) of the transmission image  116   a   1  in  FIG. 3 , and a packet group remoter from the packet header PH includes compressed image data  120 A ( 120 A 2 ) of the transmission image  116   a   2  in  FIG. 3 . These two compressed image data  120 A 1  and  120 A 2  make up the compressed image data  147 B. The payload data of a long packet of each line include one line of pixel data in the compressed image data  147 B. 
       FIG. 6  illustrates a configurational example of the transmission data  147 A. The transmission data  147 A include a frame header area R 1  and a packet area R 2 , for example. Incidentally,  FIG. 6  illustrates details of the contents of the frame header area R 1 . Furthermore, low power modes LP are omitted from illustration in  FIG. 6 . 
     The frame header area R 1  includes a frame number F 1  as an identifier of the transmission data  147 A, for example. The frame header area R 1  includes information regarding compressed image data  147 B included in the packet area R 2 . The frame header area R 1  includes, for example, the number of compressed image data  120 A (the number of ROIs) included in the compressed image data  147 B and information regarding the ROI image  112  (ROI information  120 B) corresponding to each compressed image data  120 A included in the compressed image data  147 B. 
     The combining section  147  divides and places compressed image data  147 B per pixel row of compressed image data  120 A in the packet area R 2  of the transmission data  147 A, for example. Therefore, the packet area R 2  of the transmission data  147 A does not include overlapping compressed image data corresponding to an image  118  of a region of overlap ROO. Furthermore, the combining section  147  has eliminated therefrom a pixel row not corresponding to each transmission image  116  of the captured image  111  in the packet area R 2  of the transmission data  147 A, for example. Consequently, the packet area R 2  of the transmission data  147 A does not include a pixel row not corresponding to each transmission image  116  of the captured image  111 . Incidentally, in the packet area R 2  in  FIG. 6 , a zone surrounded by the broken line corresponds to compressed image data of an image  118  of a region of overlap ROO. 
     The boundary between a packet group closer to the packet header PH (for example,  1 ( n ) in  FIG. 6 ) and a packet group remoter from the packet header PH (for example,  2 ( 1 ) in  FIG. 6 ) is specified by the physical region length XLa 1  of the ROI image  112  corresponding to the compressed image data of the packet group closer to the packet header PH (for example,  1 ( n ) in  FIG. 6 ). A packet starting position in the compressed image data corresponding to an image  118  of a region of overlap ROO included in a packet group closer to the packet header PH (for example,  1 ( n ) in  FIG. 6 ) is specified by the physical region length XLa 2  of the ROI image  112  corresponding to a packet group remoter from the packet header PH (for example,  2 ( 1 ) in  FIG. 6 ). 
     When the payload data of a long packet is to be generated per line in the packet area R 2  of the transmission data  147 A, for example, the combining section  147  may include ROI information  120 B, as illustrated in  FIG. 7 , for example, other than pixel data of one line in the compressed image data  147 B, in the payload data of the long packet. In other words, the combining section  147  may include ROI information  120 B in the payload data of a long packet and output the data. At this time, as illustrated in  FIG. 7(A)  to  FIG. 7(K) , the 
     ROI information  120 B includes at least one of the number of regions of interest ROI (the number of ROIs) included in the captured image  111 , the region number (or the priority  115 ) of each region of interest ROI, the data length of each region of interest ROI, and the image format of each region of interest ROI. The ROI information  120 B should preferably be placed in the payload data of a long packet at the end on the packet header PH side (i.e., the leading end of the payload data of the long packet). 
     (Video Receiving Apparatus  200 ) 
     Next, the video receiving apparatus  200  will be described below.  FIG. 8  illustrates a configurational example of the video receiving apparatus  200 .  FIG. 9  illustrates an example of a procedure for generating a ROI image  223 A in the video receiving apparatus  200 . The video receiving apparatus  200  includes an apparatus for receiving signals according to standards common to the video transmitting apparatus  100  (for example, the MIPI CSI-2 standards, the MIPI CSI-3 standards, or the MIPI DSI standards). The video receiving apparatus  200  has a receiving section  210  and an information processing section  220 . The receiving section  210  includes a circuit for receiving transmission data  147 A output from the video transmitting apparatus  100  via the data lane DL, performing a predetermined process on the received transmission data  147 A to generate various kinds of data ( 214 A,  215 A and  215 B), and outputting the generated data to the information processing section  220 . The information processing section  220  includes a circuit for generating a ROI image  223 A based on various kinds of data ( 214 A and  215 A) received from the receiving section  210  and generating a normal image  224 A based on data ( 215 B) received from the receiving section  210 . 
     The receiving section  210  has, for example, a header separating section  211 , a header interpreting section  212 , a payload separating section  213 , an EBD interpreting section  214 , and a ROI data separating section  215 . 
     The header separating section  211  receives transmission data  147 A from the video transmitting apparatus  100  via the data lane DL. Specifically, the header separating section  211  receives transmission data  147 A including ROI information  120 B regarding each region of interest ROI in the captured image  111  in embedded data and also including image data (compressed image data  120 A) of each region of interest ROI in the payload data of a long packet. The header separating section  211  separates the received transmission data  147 A into a frame header area R 1  and a packet area R 2 . The header interpreting section  212  specifies the positions of the payload data of long packets included in the packet area R 2  on the basis of data (specifically, embedded data) included in the frame header area R 1 . The payload separating section  213  separates the payload data of the long packets included in the packet area R 2  from the packet area R 2  on the basis of the positions of the payload data of the long packets that have been specified by the header interpreting section  212 . 
     The EBD interpreting section  214  outputs the embedded data as EBD data  214 A to the information processing section  220 . Furthermore, the EBD interpreting section  214  discriminates whether the image data included in the payload data of the long packets are the compressed image data  120 A of the image data  116  of a ROI or the compressed image data  130 A of normal image data, from the data type included in the embedded data. The EBD interpreting section  214  outputs the discriminated result to the ROI data separating section  215 . 
     If the image data included in the payload data of the long packets are the compressed image data  120 A of the image data  116  of a ROI, then the ROI data separating section  215  outputs the payload data of the long packet as payload data  215 A to the information processing section  220  (specifically, a ROI decoding section  222 ). If the image data included in the payload data are the compressed image data  130 A, then the ROI data separating section  215  outputs the payload data of the long packet as payload data  215 A to the information processing section  220  (specifically, a normal image decoding section  224 ). In a case where the payload data of the long packet include the ROI information  120 B, the payload data  215 A include the ROI information  120 B and one line of pixel data of the compressed image data  147 B. 
     The information processing section  220  extracts the ROI information  120 B from the embedded data included in the EBD data  214 A. The information processing section  220  extracts an image of each region of interest ROI (ROI image  112 ) in the captured image  111  from the payload data of the long packet included in the transmission data  147 A received by the receiving section  210  on the basis of the ROI information  120 B extracted by an information extracting section  221 . The information processing section  220  has, for example, the information extracting section  221 , the ROI decoding section  222 , a ROI image generating section  223 , and the normal image decoding section  224 . 
     The normal image decoding section  224  decodes the payload data  215 B to generate a normal image  224 A. The ROI decoding section  222  decodes the compressed image data  147 B included in the payload data  215 A to generate image data  222 A. The image data  222 A represent one transmission image  116  or a plurality of transmission images  116 . 
     The information extracting section  221  extracts the ROI information  120 B from the embedded data included in the EBD data  214 A. For example, the information extracting section  221  extracts the number of regions of interest ROI included in the captured image  111 , the region number (or the priority  115 ) of each region of interest ROI, the data length of each region of interest ROI, and the image format of each region of interest ROI, for example, from the embedded data included in the EBD data  214 A. In other words, the transmission data  147 A include the region number (or the priority  115 ) of a region of interest ROI corresponding to each transmission image  116  as discriminating information for discriminating which one of a plurality of transmission images  116  obtained from the transmission data  147 A an image  118  of a region of overlap ROO has been eliminated from. 
     The ROI image generating section  223  detects a region of overlap ROO where two or more regions of interest ROI overlap each other on the basis of the ROI information  120 B obtained by the information extracting section  221 . 
     The information extracting section  221  extracts, for example, coordinates (for example, left upper end coordinates (Xa 1 , Ya 1 )), lengths (for example, physical region lengths XLa 1  and YLa 1 ), and a region number  1  (or a priority  115  (=1)) of a region of interest ROI corresponding to a ROI image  112   a   1  from the embedded data included in the EBD data  214 A. Furthermore, the information extracting section  221  extracts, for example, coordinates (for example, left upper end coordinates (Xa 2 , Ya 2 )), lengths (for example, physical region lengths XLa 2 , YLa 2 ), and a region number  2  (or a priority  115  (=2)) of a region of interest ROI corresponding to a ROI image  112   a   2  from the embedded data included in the EBD data  214 A. 
     At this time, the ROI image generating section  223  derives positional information  114  of the region of overlap ROO based on these extracted pieces of information (hereinafter referred to as “extracted information  221 A”). The ROI image generating section  223  derives, for example, coordinates (for example, left upper end coordinates Xb 1 , Yb 1 ) and lengths (for example, physical region lengths XLb 1  and YLb 1 ) of the region of overlap ROO as the positional information  114  of the region of overlap ROO. 
     Incidentally, the ROI image generating section  223  may acquire the ROI information  120 B from the payload data  215 A instead of acquiring the ROI information  120 B from the embedded data included in the EBD data  214 A. In this case, the ROI image generating section  223  may detect a region of overlap ROO where two or more regions of interest ROI overlap each other on the basis of the ROI information  120 B included in the payload data  215 A. Furthermore, the ROI image generating section  223  may extract the extracted information  221 A from the ROI information  120 B included in the payload data  215 A, and may derive the positional information  114  of a region of overlap ROO based on the extracted information  221 A thus extracted. 
     Moreover, the ROI image generating section  223  generates an image (ROI images  112   a   1  and  112   a   2 ) of each region of interest ROI in the captured image  111  on the basis of the image data  222 A, the extracted information  221 A, and the positional information  114  of the region of overlap ROO. The ROI image generating section  223  outputs the generated images as a ROI image  223 A. 
     [Procedure] 
     Next, an example of a procedure for transmitting data in the video transmission system  1  will be described below with reference to  FIGS. 3 and 9 . 
     First, the image capturing section  110  outputs a captured image  111  (digital image data) obtained by image capturing to the image processing section  120 . The ROI segmenting section  121  specifies two regions of interest ROI 1  and ROI 2  included in the captured image  111  input from the image capturing section  110 . The ROI segmenting section  121  segments images of the respective regions of interest ROI 1  and ROI 2  (ROI images  112   a   1  and  112   a   2 ) from the captured image  111 . The ROI segmenting section  121  assigns a region number  1  as an identifier to the region of interest ROI 1  and assigns a region number  2  as an identifier to the region of interest ROI 2 . 
     The ROI analyzing section  122  derives positional information  113  of each region of interest ROI in the captured image  111 . The ROI analyzing section  122  derives left upper coordinates (Xa 1 , Ya 1 ) of the region of interest ROI 1 , a length (XLa 1 ) in the X-axis direction of the region of interest ROI 1 , and a length (YLa 1 ) in the Y-axis direction of the region of interest ROI 1  on the basis of the region of interest ROI 1 . The ROI analyzing section  122  derives left upper coordinates (Xa 2 , Ya 2 ) of the region of interest ROI 2 , a length (XLa 2 ) in the X-axis direction of the region of interest ROI 2 , and a length (YLa 2 ) in the Y-axis direction of the region of interest ROI 2  on the basis of the region of interest ROI 2 . 
     The overlap detecting section  123  detects a region of overlap ROO where the two regions of interest ROI 1  and ROI 2  overlap each other on the basis of the positional information  113  of the two regions of interest ROI 1  and ROI 2  in the captured image  111 . Specifically, the overlap detecting section  123  derives positional information  114  of the region of overlap ROO in the captured image  111 . The overlap detecting section  123  derives left upper coordinates (Xb 1 , Yb 1 ) of the region of overlap ROO, a length (XLb 1 ) in the X-axis direction of the region of overlap ROO, and a length (YLb 1 ) in the Y-axis direction of the region of overlap ROO as the positional information  114  of the region of overlap ROO in the captured image  111 . 
     The priority setting section  124  assigns “1” as a priority  115  to the region of interest ROI 1  that is one of the two regions of interest ROI 1  and ROI 2 , and assigns “2” as a priority  115  to the other region of interest ROI 2 . 
     The encoding section  125  generates two transmission images  116   a   1  and  116   a   2  where an image  118  of the region of overlap ROO has been eliminated from the two ROI images  112   a   1  and  112   a   2  obtained from the captured image  111 , in order that the image  118  will not overlappingly be included in the two regions of interest ROI 1  and ROI 2 . 
     The encoding section  125  determines which one of the two ROI images  112   a   1  and  112   a   2  the image  118  is to be eliminated from on the basis of region numbers (or the priority  115 ) of the two regions of interest ROI 1  and ROI 2 . The encoding section  125  eliminates the image  118  from the ROI image  112   a   2  corresponding to the region of interest ROI 2  whose region number (or the priority  115 ) is larger among the two regions of interest ROI 1  and ROI 2 , thereby generating a transmission image  116   a   2 . The encoding section  125  uses the ROI image  112   a   1  itself corresponding to the region of interest ROI 1  whose region number (or the priority  115 ) is smaller among the two regions of interest ROI 1  and ROI 2 , as a transmission image  116   a   1 . 
     The image processing controlling section  126  generates ROI information  120 B and frame information  120 C and transmits them to the transmitting section  140 . The transmitting section  140  generates transmission data  147 A based on various kinds of data ( 120 A,  120 B,  120 C and  130 A) input from the image processing sections  120  and  130 . The transmitting section  140  sends out the generated transmission data  147 A to the video receiving apparatus  200  via the data lane DL. 
     The receiving section  210  receives the transmission data  147 A output from the video transmitting apparatus  100  via the data lane DL. The receiving section  210  performs a predetermined process on the received transmission data  147 A to generate EBD data  214 A and payload data  215 A and outputs them to the information processing section  220 . 
     The information extracting section  221  extracts ROI information  120 B from the embedded data included in the EBD data  214 A. The information extracting section  221  extracts coordinates (for example, left upper end coordinates (Xa 1 , Ya 1 )), lengths (for example, physical region lengths XLa 1  and YLa 1 ), and a region number  1  (or a priority  115  (=1)) of the region of interest ROI corresponding to the ROI image  112   a   1  from the embedded data included in the EBD data  214 A. Furthermore, the information extracting section  221  extracts coordinates (for example, left upper end coordinates (Xa 2 , Ya 2 )), lengths (for example, physical region lengths XLa 2 , YLa 2 ), and a region number  2  (or a priority  115  (=2)) of the region of interest ROI corresponding to the ROI image  112   a   2  from the embedded data included in the EBD data  214 A. The ROI decoding section  222  decodes the compressed image data  147 B included in the payload data  215 A to generate image data  222 A. 
     The ROI image generating section  223  derives the positional information  114  of the region of overlap ROO based on the extracted pieces of information (extracted information  221 A). The ROI image generating section  223  extracts, for example, coordinates (for example, left upper end coordinates Xb 1 , Yb 1 ) and lengths (for example, physical region lengths XLb 1  and YLb 1 ) of the region of overlap ROO as the positional information  114  of the region of overlap ROO. Furthermore, the ROI image generating section  223  generates an image (ROI images  112   a   1  and  112   a   2 ) of each region of interest ROI in the captured image  111  on the basis of the image data  222 A, the extracted information  221 A, and the positional information  114  of the region of overlap ROO. 
     [Advantages] 
     Next, advantages of the video transmission system  1  according to the present embodiment will be described below. 
     In recent years, there have been growing applications in which large amounts of data are transmitted in bulk. Such applications tend to pose large loads on the transmission system, possibly causing the transmission system to go down in worst-case scenarios and fail to perform data transmission. 
     To avoid transmission system shutdowns, it has customary in the art to specify an object as an imaging target and transmit only a partial image of the specified object that has been segmented, rather than transmitting an entire captured image. 
     Incidentally, MIPI CS1-2 may be used as a process of transmitting data from an image sensor to an application sensor. It may not be easy to transmit ROIs according to this process due to various limitations. 
     On the other hand, according to the present embodiment, ROI information  120 B regarding each region of interest ROI in the captured image  111  is sent out as embedded data, and image data of each region of interest ROI are sent out as the payload data of a long packet. Therefore, an apparatus (video receiving apparatus  200 ) that has received transmission data  147 A sent out from the video transmitting apparatus  100  can easily extract the image data (ROI image  112 ) of each region of interest ROI from the transmission data  147 A. As a result, it is possible to transmit regions of interest ROIs regardless of various limitations. 
     According to the present embodiment, furthermore, the image data (compressed image data  120 A) of each region of interest ROI are sent out in a common virtual channel. Since a plurality of ROI images  112  can thus be sent in one packet, it is not necessary to enter an LP mode while the plurality of ROI images  112  is being sent, resulting in a high transmission efficiency. 
     According to the present embodiment, moreover, a data type of each region of interest ROI is included in the packet header PH of the payload data of the long packet and sent. Therefore, the data type of each region of interest ROI can be obtained simply by accessing the packet header PH of the payload data of the long packet, rather than accessing the embedded data. Inasmuch as this increases the processing rate of the video receiving apparatus  200 , a high transmission efficiency can be achieved. 
     According to the present embodiment, furthermore, in a case where the ROI information  120 B is included in the payload data of a long packet and sent, the ROI information  120 B can be obtained simply by accessing the payload data of the long packet, rather than accessing the embedded data. Inasmuch as this increases the processing rate of the video receiving apparatus  200 , a high transmission efficiency can be achieved. 
     According to the present embodiment, moreover, the ROI information  120 B regarding each region of interest ROI is extracted from the embedded data included in the transmission data  147 A and an image of each region of interest ROI (ROI image  112 ) is extracted from the payload data of the long packet include in the transmission data  147 A on the basis of the extracted ROI information  120 B. This allows the image of each region of interest ROI (ROI image  112 ) to be easily extracted from the transmission data  147 A. As a result, it is possible to transmit regions of interest ROIs regardless of various limitations. 
     2. Technology  2  that is Presupposed for the Present Disclosure 
     A technology for transmitting a region of interest (ROI) as a partial region (non-rectangular in shape) segmented from a captured image will be described below using  FIGS. 10 through 12  with reference to  FIGS. 1 through 9 . Specifically, a technology for transmitting and receiving an image of an object as an imaging target that is of a shape other than a square shape (rectangular shape) will be described below.  FIG. 10  is a diagram schematically illustrating regions where objects specified in a captured image  111  are placed. For an easier understanding,  FIG. 10  depicts the captured image  111  that is captured in an image capturing region including image capturing elements arranged in 15 rows×23 columns.  FIG. 11  is a diagram illustrating an example of ROIs established with respect to the specified objects. 
     According to the presupposed technology  2 , as with the presupposed technology  1 , there will be described a situation where a predetermined process is performed on the captured image  111  input from the image capturing section  110  in a case where a control signal indicating the segmentation of ROIs is input from the video receiving apparatus  200  via the camera control interface CCI to the video transmitting apparatus  100 . However, the presupposed technology  2  is also applicable to a situation where the video transmitting apparatus  100 , i.e., the transmission side, indicates coordinates for segmenting ROIs. In such a case, the transmission side is configured to receive information representing “persons” or “objects” to be acquired by ROIs sent out from the reception side, and to make a decision and give an instruction as to segmenting coordinates, for example. 
     A control signal indicating the segmentation of ROIs is input from the video receiving apparatus  200  via the camera control interface CCI. In response to the control signal, as illustrated in  FIG. 10 , the ROI segmenting section  121  specifies four objects  1  through  4  included as imaging targets in the captured image  111 . The object  1  has a rectangular shape taking up a portion of a left upper region of the captured image  111 , for example. The object  2  has a shape taking up a partial region on the right side of the object  1  in the captured image  111  and devoid of both side corners of an upper side of a rectangular shape and a portion of a lower side thereof, for example. The object  3  has a shape taking up a partial region below the object  2  in the captured image  111  and devoid of four corners of a rectangular shape, for example. The object  4  has a shape taking up a partial region below the object  3  in the captured image  111  and devoid of both side corners of an upper side of a rectangular shape, for example. The object  3  and the object  4  partly overlap each other. 
     As illustrated in  FIG. 11 , the ROI segmenting section  121  (see  FIG. 2 ) establishes minimum rectangular shapes including the specified objects as regions of interest ROI 1  through ROI 4 , respectively. The ROI segmenting section  121  establishes the region of interest ROI 1  for the object  1  and segments a ROI image  112   a   1 . Furthermore, the ROI segmenting section  121  establishes the region of interest ROI 2  for the object  2  and segments a ROI image  112   a   2 . Furthermore, the ROI segmenting section  121  establishes the region of interest ROI 3  for the object  3  and segments a ROI image  112   a   3 . Furthermore, the ROI segmenting section  121  establishes the region of interest ROI 4  for the object  4  and segments a ROI image  112   a   4 . 
     The ROI segmenting section  121  stores the region of interest ROI 1  and a region number “1” assigned to the region of interest ROI 1  in the storage section in association with each other. The ROI segmenting section  121  stores the region of interest ROI 2  and a region number “2” assigned to the region of interest ROI 2  in the storage section in association with each other. The ROI segmenting section  121  stores the region of interest ROI 3  and a region number “3” assigned to the region of interest ROI 3  in the storage section in association with each other. The ROI segmenting section  121  stores the region of interest ROI 4  and a region number “4” assigned to the region of interest ROI 4  in the storage section in association with each other. 
     The ROI analyzing section  122  (see  FIG. 2 ) derive positional information of the respective regions of interest ROI 1  through ROI 4 . The ROI analyzing section  122  derives a physical region length XLa 1  in the X-axis direction and a physical region length YLa 1  in the Y-axis direction, for example, as the positional information of the region of interest ROI 1 . The ROI analyzing section  122  derives a physical region length XLa 2  in the X-axis direction and a physical region length YLa 2  in the Y-axis direction, for example, as the positional information of the region of interest ROI 2 . The ROI analyzing section  122  derives a physical region length XLa 3  in the X-axis direction and a physical region length YLa 3  in the Y-axis direction, for example, as the positional information of the region of interest ROI 3 . The ROI analyzing section  122  derives a physical region length XLa 4  in the X-axis direction and a physical region length YLa 4  in the Y-axis direction, for example, as the positional information of the region of interest ROI 4 . Furthermore, the ROI analyzing section  122  may derive, as positional information  113  of each region of interest ROI, an output region length XLc in the X-axis direction of the region of interest ROI and an output region length YLc in the Y-axis direction of the region of interest ROI, for example. 
     The ROI analyzing section  122  derives sizes and total amounts of data of the respective regions of interest ROI 1  through ROI 4  as information for a subsequent stage by deriving the lengths in the X-axis direction and the Y-axis directions of the respective regions of interest ROIs. The video receiving apparatus  200  that represents the subsequent stage can thus secure a memory space. 
     The ROI analyzing section  122  is configured to derive positional information of the ROI images  112   a   1  through  112   a   4 , not the positional information of the regions of interest ROI, in a case where the objects as imaging targets and the regions of interest do not agree with each other in shape. The ROI analyzing section  122  derives left end coordinates (xn, yn) and physical region lengths XLn in the X-axis direction of the respective rows as the positional information of the ROI images  112   a   1  through  112   a   4 . Furthermore, in a case where a ROI image is separated as in the second row of the ROI image  112   a   2 , the ROI analyzing section  122  derives respective positional information of the separated portions. The ROI analyzing section  122  stores the region numbers of the regions of interest ROI 1  through ROI 4  and the positional information of the ROI images  112   a   1  through  112   a   4  in the storage section in association with each other. 
     Moreover, the ROI analyzing section  122  may derive sensing information, exposure information, gain information, AD word length, image format, etc., for example, other than the positional information, of the respective regions of interest ROI 1  through ROI 4 , and store them in the storage section in association with the region numbers. 
     In a case where objects as imaging targets are of a rectangular shape, the overlap detecting section  123  (see  FIG. 2 ) derives a region where ROI images overlap each other, not a region where regions of interest overlap each other, as a region of overlap. As illustrated in  FIG. 11 , the overlap detecting section  123  derives a region of overlap ROO as a region where the ROI image  112   a   3  and the ROI image  123   a   4  overlap each other. The overlap detecting section  123  stores the derived region of overlap ROO in the storage section in association with the respective positional information of the regions of interest ROI 3  and ROI 4 . 
     The priority setting section  124  (see  FIG. 2 ) assigns the priority “1” to the region of interest ROI 1 , and stores the priority “1” in the storage section in association with the region of interest ROI 1 . The priority setting section  124  assigns the priority “2” that is lower than the priority “1” to the region of interest ROI 2 , and stores the priority “2” in the storage section in association with the region of interest ROI 2 . The priority setting section  124  assigns the priority “3” that is lower than the priority “2” to the region of interest ROI 3 , and stores the priority “3” in the storage section in association with the region of interest ROI 3 . The priority setting section  124  assigns the priority “4” that is lower than the priority “3” to the region of interest ROI 4 , and stores the priority “4” in the storage section in association with the region of interest ROI 4 . 
     The encoding section  125  (see  FIG. 2 ) generates respective transmission images of the ROI images  112   a   1  through  112   a   4 . Since the priority of the region of interest ROI 4  is lower than the priority of the region of interest ROI 3 , the encoding section  125  generates a transmission image by eliminating the region of overlap ROO from the ROI image  112   a   4 . 
     The image processing controlling section  126  (see  FIG. 2 ) generates ROI information and frame information and transmits them to the transmitting section  140  (see  FIG. 2 ). The ROI information includes the respective positional information of the ROI images  112   a   1  through  112   a   4 , for example. The ROI information also includes, other than the positional information, information (for example, the respective data types of the regions of interest ROI 1  through ROI 4 , the number of the regions of interest ROI 1  through ROI 4  included in the captured image  111 , the region numbers and priority of the regions of interest ROI 1  through ROI 4 , etc.) similar to those in a case where objects as imaging targets are of a rectangular shape. The frame information includes, for example, information similar to those in a case where objects as imaging targets are of a rectangular shape, such as data types of the regions of interest ROI 1  through ROI 4 . 
     The LINK controlling section  141  provided in the transmitting section  140  (see  FIG. 2 ) outputs the frame information and the ROI information input from the image processing controlling section  126  per line to the ECC generating section  142  and the PH generating section  143  (see  FIG. 2  for both). The ECC generating section  142  generates an error correcting code for a line in the frame information on the basis of data of the line (for example, the number of the virtual channel, the respective data types of the regions of interest ROI 1  through ROI 4 , the payload length per line, etc.), for example. The ECC generating section  142  outputs the generated error correcting code to the PH generating section  143 , for example. The PH generating section  143  generates a packet header PH (see  FIG. 4 ) per line, using the frame information and the error correcting code generated by the ECC generating section  142 . 
     The EBD buffer  144  (see  FIG. 2 ) primarily stores the ROI information and outputs the ROI information at predetermined timing as embedded data to the combining section  147  (see  FIG. 2 ). 
     The ROI data buffer  145  (see  FIG. 2 ) primarily stores the compressed image data input from the encoding section  125  and outputs the compressed image data  120 A as the payload data of a long packet to the combining section  147  in a case where a control signal indicating the segmentation of ROIs is input from the video receiving apparatus  200  via the camera control interface CCI. 
     In a case where a control signal indicating the segmentation of ROIs is input from the video receiving apparatus  200  via the camera control interface CCI, the combining section  147  generates transmission data  147 A based on various input data (the packet header PH, the ROI information, and the compressed image data input from the encoding section  125  via the ROI data buffer  145 . The combining section  147  outputs the generated transmission data  147 A to the video receiving apparatus  200  via the data lane DL. Specifically, the combining section  147  includes the respective data types of the regions of interest ROI 1  through ROI 4  in the packet header PH of the payload data of a long packet and sends out the data. Furthermore, the combining section  147  sends out the respective image data (compressed image data) of the regions of interest ROI 1  through ROI 4  in a common virtual channel. 
     In a case where objects as imaging targets are not of a rectangular shape, the positional information of the ROI images  112   a   1  through  112   a   4  is included in the packet header PH or the payload data of a long packet. The positional information of the ROI images  112   a   1  through  112   a   4  is included in the packet header PH by the PH generating section  143 . On the other hand, the positional information of the ROI images  112   a   1  through  112   a   4  is included in the payload data of a long packet by the combining section  147 . 
       FIG. 12  is a diagram illustrating a configurational example of the transmission data  147 A where the positional information of the ROI images  112   a   1  through  112   a   4  is included in the payload data of a long packet. As illustrated in  FIG. 12 , the transmission data  147 A include a frame header area R 1  and a packet area R 2 , for example. Incidentally,  FIG. 12  illustrates details of the contents of the frame header area R 1 . Furthermore, low power modes LP are omitted from illustration in  FIG. 12 . 
     The frame header area R 1  includes a frame number F 1  as an identifier of the transmission data  147 A, for example. The frame header area R 1  includes information regarding compressed image data included in the packet area R 2 . The frame header area R 1  includes, for example, the number of compressed image data (the number of ROIs) and information (ROI information) regarding each of the ROI images  112   a   1  through  112   a   4  corresponding to each compressed image data. The ROI information includes region numbers, physical region lengths, rectangular output region sizes, priority, exposure information, gain information, AD word lengths, and image formats. A physical region length represents the maximum length of a ROI image, and a rectangular output region size represents the size of a region of interest ROI. 
     “Info” illustrated in  FIG. 12  represents region information stored in the payload of a long packet. The positional information of the ROI images  112   a   1  through  112   a   4  is stored in “info,” for example. The positional information of the ROI images  112   a   1  through  112   a   4  is stored in the leading portions of the payloads of long packets. In a case where the physical region lengths in the X-axis direction of successive pixel rows making up ROI images are the same and each pixel row does not include a ROI image of a different region number, the region information “info” may not be stored in the payloads of long packets including image data of second and following ones of the pixel rows. According to the present example, in the ROI image  112   a   1 , the physical region lengths in the X-axis direction of successive first through fourth ones of all the pixel rows are the same, and the first through fourth pixel rows do not include a ROI image of a different region number. Therefore, the region information “info” is not stored in the payloads of respective long packets including the image data of the second through fourth pixel rows that correspond to second and following ones of the successive first through fourth pixel rows making up the ROI image  112   a   1 . According to the present example, furthermore, in the ROI image  112   a   4 , the physical region lengths in the X-axis direction of successive second and third ones of all the pixel rows are the same, and the second and third pixel rows do not include a ROI image of a different region number. Therefore, the region information “info” is not stored in the payload of a long packet including the image data of the third pixel row that corresponds to second and following ones of the successive second and third pixel rows making up the ROI image  112   a   4 . It is noted that, even in a case where the physical region lengths in the X-axis direction are the same and the respective pixel rows do not include a ROI image of a different region number, the region information “info” may be stored in the payload of each row. 
     The combining section  147  divides and places compressed image data generated by compressing the respective ROI images  112   a   1  through  112   a   4  per pixel row in the packet area R 2  of the transmission data  147 A, for example. “1” illustrated in  FIG. 12  represents the compressed image data of the ROI image  112   a   1  stored in the payloads of long packets. “2” illustrated in  FIG. 12  represents the compressed image data of the ROI image  112   a   2  stored in the payloads of long packets. “3” illustrated in  FIG. 12  represents the compressed image data of the ROI image  112   a   3  stored in the payloads of long packets. “4” illustrated in  FIG. 12  represents the compressed image data of the ROI image  112   a   4  stored in the payloads of long packets. In  FIG. 12 , the compressed image data are illustrated as being divided for an easy understanding. However, the data stored in the payloads of long packets are not divided. Compressed image data  112   b  corresponding to the image of the region of overlap ROO are not overlappingly included in the packet area R 2  of the transmission data  147 A. Furthermore, the combining section  147  has eliminated pixel rows that do not correspond to respective transmission images of the captured image  111  from the packet area R 2  of the transmission data  147 A. Consequently, pixel rows that do not correspond to respective transmission images of the captured image  111  are not included in the packet area R 2  of the transmission data  147 A. 
     Next, operation of the video receiving apparatus  200  in a case where it has received transmission data  147 A will be described below. 
     The header separating section  211  of the receiving section  210  (see  FIG. 8  for both) receives transmission data  147 A from the video transmitting apparatus  100  via the data lane DL. Specifically, the header separating section  211  receives transmission data  147 A including ROI information regarding the regions of interest ROI 1  through ROI 4  in the captured image  111  in the embedded data and also including image data (compressed image data) of the regions of interest ROI 1  through ROI 4  in the payload data of long packets. The header separating section  211  separates the received transmission data  147 A into a frame header area R 1  and a packet area R 2 . 
     The header interpreting section  212  (see  FIG. 8 ) specifies the positions of the payload data of long packets included in the packet area R 2  on the basis of data (specifically, embedded data) included in the frame header area R 1 . 
     The payload separating section  213  (see  FIG. 8 ) separates the payload data of the long packets included in the packet area R 2  from the packet area R 2  on the basis of the positions of the payload data of the long packets that have been specified by the header interpreting section  212 . 
     The EBD interpreting section  214  outputs the embedded data as EBD data to the information processing section  220  (see  FIG. 8 ). Furthermore, the EBD interpreting section  214  discriminates whether the image data included in the payload data of the long packets are the compressed image data of the image data  116  of a ROI or the compressed image data of normal image data, from the data type included in the embedded data. The EBD interpreting section  214  outputs the discriminated result to the ROI data separating section  215  (see  FIG. 8 ). 
     If image data where the image data included in the payload data of long packets represent a ROI are input, then the ROI data separating section  215  outputs the payload data of the long packets as payload data to the information processing section  220  (specifically, the ROI decoding section  222 ). The payload data of the long packets including ROI information include the ROI information and one line of pixel data of the compressed image data. 
     The information extracting section  221  (see  FIG. 8 ) provided in the information processing section  220  extracts the number (four in the present example) of the regions of interest ROI 1  through ROI 4  included in the captured image  111 , the region numbers  1  through  4  and the priorities  1  through  4  of the regions of interest ROI 1  through ROI 4 , the data lengths of the respective regions of interest ROI 1  through ROI 4 , and the image formats of the respective regions of interest ROI 1  through ROI 4  from the embedded data included in the EBD data input from the EBD interpreting section  214 . Furthermore, the information extracting section  221  extracts the positional information of the ROI images  112   a   1  through  112   a   4  from the embedded data. 
     The ROI decoding section  222  decodes compressed image data  147 B included in the payload data to extract the positional information of the ROI images  112   a   1  through  112   a   4  and generate image data (making up transmission images). In a case where payload data corresponding to a sixth pixel row, for example, are input, the ROI decoding section  222  extracts one piece of positional information of the ROI image  112   a   1  and two pieces of positional information of the ROI image  112   a   2  from the payload data, and generates respective image data (transmission images) of the ROI images  112   a   1  and  112   b   1  corresponding to the sixth pixel row. 
     In a case where payload data corresponding to a tenth pixel row, for example, are input, the ROI decoding section  222  extracts one piece of positional information of the ROI image  112   a   3  and one piece of positional information of the ROI image  112   a   4  from the payload data, and generates respective image data (transmission images) of the ROI images  112   a   3  and  112   b   4 . 
     The ROI image generating section  223  (see  FIG. 8 ) generates ROI images  112   a   1  through  112   a   4  of the regions of interest ROI 1  through ROI 4  in the captured image on the basis of the ROI information obtained by the information extracting section  221 , the positional information of the ROI images  112   a   1  through  112   a   4  extracted by the ROI decoding section  222 , and the transmission images generated by the ROI decoding section  222 . In a case where the one piece of positional information of the ROI image  112   a   1  and two pieces of positional information of the ROI image  112   a   2 , extracted from the payload data, corresponding to the sixth pixel row, for example, and their transmission images are input, the ROI image generating section  223  generates a ROI image  112   a   1  of five pixels extending in the X-axis direction, a ROI image  112   a   2  of four pixels extending in the X-axis direction at a position spaced five pixels from the ROI image  112   a   1 , and a ROI image  112   a   2  of two pixels extending in the X-axis direction at a position spaced two pixels from the ROI image  112   a   2  (see  FIG. 10 ). 
     Furthermore, the ROI image generating section  223  detects a region of overlap ROO where the region of interest ROI 3  and the region of interest ROI 4  overlap each other on the basis of the ROI information obtained by the information extracting section  221 . The ROI image generating section  223  generates a ROI image  112   a   3  of four pixels extending in the X-axis direction and a ROI image  112   a   4  of three pixels extending in the X-axis direction with one pixel overlapping the ROI image  112   a   3  on the basis of the detected region of overlap ROO, the respective positional information of the ROI images  112   a   3  and  112   a   4 , extracted from the payload, corresponding to the tenth pixel row, and the transmission images (see  FIG. 10 ). 
     The ROI image generating section  223  outputs the generated images as ROI images to an apparatus at a subsequent stage (not illustrated). 
     In this manner, the video transmitting apparatus  100  and the video receiving apparatus  200  can send and receive images of objects as imaging targets as ROI images even if the objects are of a shape other than a rectangular shape. 
     3. A Transmitting Apparatus, a Receiving Apparatus, and a Transmission System According to a First Embodiment of the Present Disclosure 
     Next, a transmitting apparatus, a receiving apparatus, and a transmission system according to a first embodiment of the present disclosure will be described below with reference to  FIGS. 13 through 16 . In describing the transmitting apparatus, the receiving apparatus, and the transmission system according to the present embodiment, the principles of an image quality adjusting process according to the present embodiment will first be described below with reference to  FIG. 13 . According to the present embodiment, an automatic exposure controlling process and an automatic white balance controlling process are carried out as the image quality adjusting process. 
     In a transmitting apparatus, a receiving apparatus, and a transmission system, generally, automatic exposure control is performed using the information of an image signal acquired by an image capturing section. For example, the transmitting apparatus that has the image capturing section has an information generating section (e.g., referred to as “automatic exposure detecting circuit”) for acquiring a video signal being processed in a signal processing circuit of the image capturing section and generating information for automatic exposure. The information generating section calculates the brightness of a captured image based on the acquired information. On the basis of the calculated result from the information generating section, the image capturing section appropriately controls a shutter speed, an iris (lens aperture), and a gain to capture an image. The conventional transmitting apparatus, receiving apparatus, and transmission system have a problem in that they are unable to deal with brightness variations and light source variations on a screen as they are configured to control constant exposure on the screen in its entirety. 
     Accordingly, the transmitting apparatus, the receiving apparatus, and the transmission system according to the present embodiment are configured to determine the lens aperture, shutter speed, analog gain, and digital gain of an image capturing section for giving target brightness to an image captured by the image capturing section on the basis of the brightness of a region of interest, not the brightness on a screen in its entirety. 
     Furthermore, in a transmitting apparatus, a receiving apparatus, and a transmission system, generally, automatic white balance control is performed using the information of an image signal acquired by an image capturing section, as with the automatic exposure control. For example, the transmitting apparatus that has the image capturing section has an information generating section (e.g., referred to as “automatic white balance detecting circuit”) for acquiring a video signal being processed in a signal processing circuit of the image capturing section and generating information for automatic white balance. The information generating section calculates the hues of a captured image based on the acquired information. On the basis of the calculated result from the information generating section, the image capturing section appropriately adjusts a white balance gain. The conventional transmitting apparatus, receiving apparatus, and transmission system have a problem in that they are unable to deal with hue variations on a screen as they are configured to control a constant white balance on the screen in its entirety. 
     Accordingly, the transmitting apparatus, the receiving apparatus, and the transmission system according to the present embodiment are configured to determine the white balance gain for giving target hues to an image captured by the image capturing section on the basis of the hues of a region of interest, not the hues on a screen in its entirety. 
       FIG. 13  is a diagram illustrating a process of calculating a gain in an automatic exposure controlling process and an automatic white balance controlling process as an image quality adjusting process according to the present embodiment. First, the process of calculating a gain in the automatic exposure controlling process will be described below. 
     As illustrated in  FIG. 13 , it is assumed that three regions of interest ROI 1 , ROI 2 , and ROI 3  are established in an image capturing region IR. In this case, first, the sizes of the regions of interest ROI 1  through ROI 3  are calculated using the lengths in the X-axis directions and the Y-axis directions that are included in the positional information of the regions of interest ROI 1  through ROI 3 . The largest region of interest is determined as a reference region of interest. In the example illustrated in  FIG. 13 , the region of interest ROI 3  is determined as a reference region of interest. 
     Next, exposure conditions for controlling the exposure of the image capturing section are determined from a detected value of the reference region of interest (reference detected value). The reference detected value is represented by an average value of luminance of all the pixels that make up the reference region of interest, for example. Moreover, the numerical values of a shutter speed, a lens aperture, an analog gain, and a digital gain are determined as the exposure conditions. In determining the exposure conditions, in order that the analog gain will not become a negative gain, gains are established not to apply all the gains with the analog gain. In the example illustrated in  FIG. 13 , since the region of interest ROI 3  is determined as a reference region of interest, the average value of luminance of all the pixels that make up the reference region of interest ROI 3  is determined as a reference detected value. 
     Next, detected values of the other regions of interest than the reference region of interest are determined. In the example illustrated in  FIG. 13 , the average value of luminance of all the pixels that make up the reference region of interest ROI 1  is determined as a detected value of the region of interest ROI 1 . Likewise, the average value of luminance of all the pixels that make up the reference region of interest ROI 2  is determined as a detected value of the region of interest ROI 2 . 
     Next, digital gains of a plurality of regions of interest are independently calculated on the basis of the ratios between the reference detected value of the reference region of interest, among the plurality of regions of interest, and the detected values of the remaining regions of interest. Providing a digital gain at the present time of the reference region of interest is represented by “DG_ref,” a reference detected value by “L_ref,” an established value of the digital gain of the region of interest determined as the reference region of interest by “DG_RR,” an established value of the digital gain of a region of interest other than the reference region of interest by “DG_Rn” (n represents the region number of the region of interest), and a reference value of the region of interest by “L_Rn,” the established values of the digital gains of the regions of interest are expressed by the following equations (1) and (2): 
     
       
         
           
             
               
                 
                   DG_RR 
                   = 
                   
                     DG_ref 
                     × 
                     
                       ( 
                       
                         L_ref 
                         / 
                         L_ref 
                       
                       ) 
                     
                   
                 
               
               
                 
                   ( 
                   1 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   DG_Rn 
                   = 
                   
                     DG_ref 
                     × 
                     
                       ( 
                       
                         L_ref 
                         / 
                         L_Rn 
                       
                       ) 
                     
                   
                 
               
               
                 
                   ( 
                   2 
                   ) 
                 
               
             
           
         
       
     
     It is assumed that the region number of the region of interest ROI 1  illustrated in  FIG. 13  is represented by “1,” the region number of the region of interest ROI 2  by “2,” and the region number of the region of interest ROI 3  by “3.” Moreover, it is assumed that the detected value of the region of interest ROI 1  is represented by L_R 1 , the detected value of the region of interest ROI 2  by L_R 2 , and the detected value of the region of interest ROI 31  by L_R 3 . In  FIG. 13 , since the region of interest ROI 3  is determined as the reference region of interest, the reference value L_R 3  of the region of interest ROI 3  becomes the reference detected value L_ref, and the digital gain at the present time of the region of interest ROI 3  becomes the digital gain DG_ref at the present time of the reference region of interest. Therefore, the established values of the digital gains of the regions of interest RO 1  through ROI 3  are expressed by the following equations (3) through (5): 
     
       
         
           
             
               
                 
                   DG_R1 
                   = 
                   
                     DG_ref 
                     × 
                     
                       ( 
                       
                         L_ref 
                         / 
                         L_R1 
                       
                       ) 
                     
                   
                 
               
               
                 
                   ( 
                   3 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   DG_R2 
                   = 
                   
                     DG_ref 
                     × 
                     
                       ( 
                       
                         L_ref 
                         / 
                         L_R2 
                       
                       ) 
                     
                   
                 
               
               
                 
                   ( 
                   4 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   DG_RR 
                   = 
                   
                     DG_ref 
                     × 
                     
                       ( 
                       
                         L_ref 
                         / 
                         L_ref 
                       
                       ) 
                     
                   
                 
               
               
                 
                   ( 
                   5 
                   ) 
                 
               
             
           
         
       
     
     The established value DG_RR of the digital gain of the reference region of interest is the established value DG_R 3  of the digital gain of the region of interest ROI 3 . Consequently, the established value DG_R 3  of the digital gain of the region of interest ROI 3  is expressed by the following equation (6) because of the equation (5): 
     
       
         
           
             
               
                 
                   DG_R3 
                   = 
                   DG_ref 
                 
               
               
                 
                   ( 
                   6 
                   ) 
                 
               
             
           
         
       
     
     In the equations (1) and (2), the digital gains of the regions of interest other than the reference region of interest are corrected on the basis of the ratios between the reference detected value of the reference region of interest and the detected values of the regions of interest other than the reference region of interest. However, the digital gains of the regions of interest other than the reference region of interest may be corrected on the basis of the distances between the reference region of interest and the regions of interest other than the reference region of interest and the center of the image capturing region IR. Moreover, the digital gains of the regions of interest other than the reference region of interest may be corrected on the basis of the differences between the reference detected value of the reference region of interest and the detected values of the regions of interest other than the reference region of interest. In addition, in a case where the differences or ratios between the reference detected value of the reference region of interest and the detected values of the regions of interest other than the reference region of interest do not exceed a predetermined threshold value, the digital gains of the regions of interest other than the reference region of interest may not be corrected. 
     Next, the process of calculating a gain in the automatic white balance controlling process will be described below. In the automatic white balance controlling process, first, a reference region of interest is determined among a plurality of regions of interest. A process of determining a reference region of interest in the automatic white balance controlling process is the same as the process of determining a reference region of interest in the automatic exposure controlling process, and hence will be omitted from description. 
     Next, a white balance gain WB_g is calculated with respect to each of the regions of interest. The white balance gain WB_g is calculated using a detected value of each of the regions of interest. The detected value is represented by an average value of luminance of the color pixels that make up the reference region of interest, for example. It is assumed that a region of interest has red pixels, green pixels, and blue pixels (an example of a plurality of color pixels) arrayed according to predetermined rules. In this case, a detected value of each region of interest is calculated as three average values, i.e., an average value of luminance of the red pixels (hereinafter referred to as “R pixels”), an average value of luminance of the green pixels (hereinafter referred to as “G pixels”), and an average value of luminance of the blue pixels (hereinafter referred to as “B pixels”). 
     The white balance gain WB_g is used to correct the luminance of the R pixels, the luminance of the G pixels, and the luminance of the B pixels such that the luminance of the R pixels, the luminance of the G pixels, and the luminance of the B pixels will be equal to each other in each region of interest. According to the present embodiment, the white balance gain WB_g is calculated to correct the luminance of the R pixels and the luminance of the B pixels in order to bring the luminance of the R pixels and the luminance of the B pixels into conformity with the luminance of the G pixels that are of the highest visual sensitivity among the three colors. It is assumed that a detected value based on the luminance of the R pixels of the reference region of interest is represented by “DT_ref_R,” a detected value based on the luminance of the G pixels of the reference region of interest by “DT_ref_G,” and a detected value based on the luminance of the B pixels of the reference region of interest is represented by “DT_ref_B.” It is also assumed that a detected value based on the luminances of the R pixels of another region of interest than the reference region of interest is represented by “DT_Rn” (n represents the region number of the region of interest), a detected value based on the luminances of the G pixels of the region of interest by “DT_G” (n represents the region number of the region of interest), and a detected value based on the luminances of the B pixels of the region of interest by “DT B” (n represents the region number of the region of interest). Then, a white balance gain WB_gref_R for the R pixels of the reference region of interest, a white balance gain WB_gref_G for the G pixels thereof, and a white balance gain WB_gref_B for the B pixels thereof are expressed by the following equations (7) through (9): 
     
       
         
           
             
               
                 
                   
                     WB_gref 
                     ⁢ 
                     _R 
                   
                   = 
                   
                     DT_ref 
                     ⁢ 
                     _G 
                     / 
                     DT_ref 
                     ⁢ 
                     _R 
                   
                 
               
               
                 
                   ( 
                   7 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     WB_gref 
                     ⁢ 
                     _G 
                   
                   = 
                   
                     DT_ref 
                     ⁢ 
                     _G 
                     / 
                     DT_ref 
                     ⁢ 
                     _G 
                   
                 
               
               
                 
                   ( 
                   8 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     WB_gref 
                     ⁢ 
                     _B 
                   
                   = 
                   
                     DT_ref 
                     ⁢ 
                     _G 
                     / 
                     DT_ref 
                     ⁢ 
                     _B 
                   
                 
               
               
                 
                   ( 
                   9 
                   ) 
                 
               
             
           
         
       
     
     In addition, a white balance gain WB_g_Rn for the R pixels of the other region of interest than the reference region of interest, a white balance gain WB_g_Gn for the G pixels thereof, and a white balance gain WB_Bn for the B pixels thereof are expressed by the following equations (10) through (12): 
     
       
         
           
             
               
                 
                   
                     WB_g 
                     ⁢ 
                     _Rn 
                   
                   = 
                   
                     DT_Gn 
                     / 
                     Dt_Rn 
                   
                 
               
               
                 
                   ( 
                   10 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     WB_g 
                     ⁢ 
                     _Gn 
                   
                   = 
                   
                     DT_Gn 
                     / 
                     Dt_Gn 
                   
                 
               
               
                 
                   ( 
                   11 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     WB_g 
                     ⁢ 
                     _Bn 
                   
                   = 
                   
                     DT_Gn 
                     / 
                     Dt_Bn 
                   
                 
               
               
                 
                   ( 
                   12 
                   ) 
                 
               
             
           
         
       
     
     Next, using the white balance gains WB_gref_R, WB_gref_G, and WB_gref_B for the color pixels of the reference region of interest, and the white balance gains WB_g_Rn, WB_g_Gn, and WB_g_Bn for the color pixels of the other region of interest than the reference region of interest, a white balance gain to be finally established by alpha blending (hereinafter referred to as “final white balance gain”), for example, is determined. The final white balance gain is determined per color pixel. It is herein assumed that a final white balance gain for the R pixels of the reference region of interest is represented by “LWB_g_RR,” a final white balance gain for the G pixels of the reference region of interest is represented by “LWB_g_GR,” and final white balance gain for the B pixels of the reference region of interest is represented by “LWB_g_BR.” Furthermore, it is also assumed that a coefficient for alpha blending is represented by “a,” a final white balance gain for the R pixels of the other region of interest than the reference region of interest by “LWB_g_Rn” (n represents the region number of the region of interest), a final white balance gain for the G pixels of the other region of interest than the reference region of interest by “LWB_g_Gn” (n represents the region number of the region of interest), and a final white balance gain for the B pixels of the other region of interest than the reference region of interest by “LWB_g_Bn” (n represents the region number of the region of interest). Then, final white balance gains for the respective color pixels are expressed by the following equations (13) through (15): 
     
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _Rn 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _R 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _Rn 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   13 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _Gn 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _G 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _Gn 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   14 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _Bn 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _B 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _Bn 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   15 
                   ) 
                 
               
             
           
         
       
     
     It is assumed that the region number of the region of interest ROI 1  illustrated in  FIG. 13  is represented by “1,” the region number of the region of interest ROI 2  illustrated in  FIG. 13  is represented by “2,” and the region number of the region of interest ROI 3  illustrated in  FIG. 13  is represented by “3.” Therefore, final white gains for the region of interest ROI 1  are expressed by the following equations (16) through (18): 
     
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _R1 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _R 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _R1 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   16 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _G1 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _G 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _G1 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   17 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _B1 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _B 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _B1 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   18 
                   ) 
                 
               
             
           
         
       
     
     Moreover, final white gains for the region of interest ROI 2  are expressed by the following equations (19) through (21): 
     
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _R2 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _R 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _R2 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   19 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _G2 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _G 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _G2 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   20 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _B2 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _B 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _B2 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   21 
                   ) 
                 
               
             
           
         
       
     
     Furthermore, final white gains for the region of interest ROI 3  are expressed by the following equations (22) through (24): 
     
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _R3 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _R 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _R3 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   22 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _G3 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _G 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _G3 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   23 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _B3 
                   
                   = 
                   
                     
                       WB_gref 
                       ⁢ 
                       _B 
                       × 
                       α 
                     
                     + 
                     
                       WB_g 
                       ⁢ 
                       _B3 
                       × 
                       
                         ( 
                         
                           1 
                           - 
                           α 
                         
                         ) 
                       
                     
                   
                 
               
               
                 
                   ( 
                   24 
                   ) 
                 
               
             
           
         
       
     
     According to the present embodiment, as described above, white balance gains are calculated in order to bring the luminance of the R pixels and the luminance of the B pixels into conformity with the luminance of the G pixels. Consequently, the white balance gains WB_gref_G and WB_g_Gn for the G pixels are “1” (see the equations (8) and (11)). Therefore, the final white balance gain LWB_g_Gn for the G pixels is “1” (see the equations (14), (17), (20), and (23)). 
     Moreover, since the region of interest ROI 3  is the reference region of interest, the white balance gain WB_g_B 3  for the region of interest ROI 3  and the white balance gain WB_gref_B for the reference region of interest are equal to each other. Therefore, the final white balance gains LWB_g_R 3 , LWB_g_G 3 , and LWB_g_B 3  for the region of interest ROI 3  are expressed by the following equations (25) through (27): 
     
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _R3 
                   
                   = 
                   
                     WB_gref 
                     ⁢ 
                     _R 
                   
                 
               
               
                 
                   ( 
                   25 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _G3 
                   
                   = 
                   
                     WB_gref 
                     ⁢ 
                     _G 
                   
                 
               
               
                 
                   ( 
                   26 
                   ) 
                 
               
             
           
         
       
       
         
           
             
               
                 
                   
                     LWB_g 
                     ⁢ 
                     _B3 
                   
                   = 
                   
                     WB_gref 
                     ⁢ 
                     _B 
                   
                 
               
               
                 
                   ( 
                   27 
                   ) 
                 
               
             
           
         
       
     
     The coefficient α may adaptively be changed from the distance information from the center of the image capturing region to the region of interest, the difference between the detected value of the reference region of interest and the detected value of the other region of interest than the reference region of interest, the difference between color temperatures determined from the difference between the detected values, the reliability of light source prediction, or the like. Moreover, in a case where the size (area) of a region of interest is equal to or smaller than a predetermined threshold value, the white balance of the region of interest may not be processed independently, and the final white balance gain therefor may be set to the same value as the reference region of interest, for example. 
     The set value of the digital gain and the set value of the final white balance gain for each region of interest can be calculated by either one of the transmitting apparatus and the receiving apparatus according to the present embodiment. 
     Next, a transmitting apparatus, a receiving apparatus, and a transmission system according to the present embodiment will be described below with reference to  FIG. 14 .  FIG. 14  is a block diagram illustrating a general makeup of a video transmitting apparatus  3 , a video receiving apparatus  4 , and a transmission system  10  according to the present embodiment. 
     As illustrated in  FIG. 14 , the video transmission system (an example of the transmission system)  10  according to the present embodiment includes the video transmitting apparatus (an example of the transmitting apparatus)  3  that functions as an image sensor and the video receiving apparatus (an example of the receiving apparatus)  4  that functions as an image signal processor (ISP). In the video transmission system  10 , the video transmitting apparatus  3  is configured to have a transmitting section  322  send out signals according to the MIPI (Mobile Industry Processor Interface) D-PHY standard, the MIPI C-PHY standards, or the MIPI CSI (Camera Serial Interface)-2 standards. In the video transmission system  10 , furthermore, the video receiving apparatus  4  is configured to have a receiving section  412  receive signals according to the MIPI D-PHY standards, the MIPI C-PHY standards, or the MIPI CSI-2 standards. Moreover, the video transmission system  10  is a system capable of sending and receiving signals according to various standards and may be configured to send and receive signals according to the MPIP CSI-3 standards, the MIPI DSI standards, or other standards between the video transmitting apparatus  3  and the video receiving apparatus  4 , as with the video transmission system  1  according to the presupposed technologies  1  and  2 . 
     The video transmitting apparatus  3  provided in the video transmission system  10  is configured to perform functions equivalent to those of the video transmitting apparatus  100  according to the presupposed technologies  1  and  2 . Specifically, the video transmitting apparatus  3  is configured to perform the similar process to the video transmitting apparatus  100  on captured images input from an image capturing section  31  in a case where a control signal indicating the segmentation of ROIs is input from the video receiving apparatus  4 . Furthermore, the video transmitting apparatus  3  is configured to perform the similar process to the video transmitting apparatus  100  on captured images input from the image capturing section  31  in a case where a control signal indicating the outputting of a normal image is input from the video receiving apparatus  4 . Moreover, the video transmitting apparatus  3  is configured to acquire demosaicing information for use in the above demosaicing process and send out the demosaicing information to the video receiving apparatus  4 . Furthermore, the video transmitting apparatus  3  is applicable where it (i.e., the video transmitting apparatus  3 ) determines coordinates for segmenting a ROI even in a case where a control signal indicating the segmentation of ROIs is not input from the video receiving apparatus  4 . In this case, the video transmitting apparatus  3  receives information of a “person,” an “object,” or the like to be acquired as a ROI sent from the video receiving apparatus  4  side and decides on and determines segmenting coordinates. 
     The video receiving apparatus  4  is configured to perform functions equivalent to those of the video receiving apparatus  200  according to the presupposed technologies  1  and  2 . Specifically, the video receiving apparatus  4  is configured to perform the similar process to the video receiving apparatus  200  according to the presupposed technologies  1  and  2  on transmission data transmitted from the video transmitting apparatus  3 . Furthermore, the video receiving apparatus  4  is configured to perform an image quality adjusting process using image quality adjusting information transmitted from the video transmitting apparatus  3 . 
     Accordingly,  FIG. 14  centers in its illustration around those components of the video transmitting apparatus  3  and the video receiving apparatus  4  that are relevant to the image quality adjusting process. The video transmitting apparatus  3  and the video receiving apparatus  4  according to the present embodiment are configured to perform an automatic exposure process and a white balance controlling process as the image quality adjusting process. 
     As illustrated in  FIG. 14 , the video transmitting apparatus  3  includes the image capturing section  31  that captures images of targets. The image capturing section  31  has a photoelectric converting section  311  for converting incident light into electric signals, for example. The photoelectric converting section  311  includes, for example, a CCD image sensor or a CMOS image sensor. Furthermore, the image capturing section  31  has a signal converting section  312  for converting an analog electric signal input from the photoelectric converting section  311  into digital image data. The signal converting section  312  is configured to perform a signal amplifying (AGC) process for amplifying the analog electric signal input from the photoelectric converting section  311  and an analog-to-digital converting (ADC) process for converting the amplified signal into a digital signal. The image capturing section  31  has an amplifying section  313  for applying a digital gain to image data input from the signal converting section  312 . The amplifying section  313  outputs the image data with the digital gain applied thereto to the transmitting section  322 . The digital gain that the amplifying section  313  applies to the image data is a digital gain for the reference region of interest described above. The electric signal obtained by the photoelectric converting section  311  may be processed by an analog gain (to be described later) determined on the basis of the luminance of the reference region of interest described above. 
     The video transmitting apparatus  3  includes a controlling section  32  for controlling the image capturing section  31  and controlling predetermined signal processing processes. The controlling section  32  has a sensor CPU  321  and the transmitting section  322 . The sensor CPU  321  is configured to perform the similar functions to the image processing sections  120  and  130  (see  FIG. 2 ). The transmitting section  322  is configured to perform the similar functions to the transmitting section  140  (see  FIG. 2 ). In the controlling section  32 , the sensor CPU  321  may be replaced with image processing sections  120  and  130  and the transmitting section  322  may be replaced with the transmitting section  140 . 
     The sensor CPU  321  has an exposure controlling section  321   a  for controlling exposure conditions of the photoelectric converting section  311 . Furthermore, the sensor CPU  321  has a conversion area controlling section (an example of a controlling section)  321   b  for controlling the acquisition of image quality adjusting information including information for use in adjusting the image quality of each of a plurality of ROIs. Each of the sensor CPU  321  having the conversion area controlling section  321   b  and the controlling section  32  corresponds to an example of a controlling section for controlling the acquisition of image quality adjusting information including information for use in adjusting the image quality of each of a plurality of ROIs. 
     As illustrated in  FIG. 14 , the sensor CPU  321  is configured to be supplied with control information (to be described in detail later) input from the video receiving apparatus  4 . The control information includes information regarding a shutter speed, an iris (lens aperture), and a gain for controlling the image capturing section  31 . The exposure controlling section  321   a  is configured to control the shutter speed and the iris (lens aperture) of the image capturing section  31  on the basis of the control information and also to apply an analog gain to an electric signal output from the photoelectric converting section  311 . As described in detail later, the control information represents information extracted and generated from image quality adjusting information, acquired by the sensor CPU  321 , of a reference region of interest (an example of one ROI) selected from a plurality of regions of interest. Therefore, the exposure controlling section  321   a  corresponds to an example of a controlling section for controlling the acquisition of exposure control information for controlling exposure (control information input from the video receiving apparatus  4 ) from image quality adjusting information of a reference region of interest (an example of one ROI) selected from a plurality of regions of interest. 
     The conversion area controlling section  321   b  is configured to acquire image quality adjusting information of a region of interest ROI. In a case where a plurality of regions of interest ROI is established, the conversion area controlling section  321   b  is configured to acquire image quality adjusting information of each of the regions of interest ROI. The conversion area controlling section  321   b  is configured to acquire information of the luminance of each of the regions of interest ROI as the image quality adjusting information. The conversion area controlling section  321   b  acquires luminance information of all the pixels making up the regions of interest ROI as the image quality adjusting information per region of interest ROI. 
     Incidentally, the image capturing region provided in the photoelectric converting section  311  has a plurality of color pixels arrayed according to predetermined rules. According to the present embodiment, the image capturing region has R pixels, G pixels, and B pixels as color pixels. A region of interest ROI is a partial region extracted from the image capturing region. Therefore, the region of interest ROI has a plurality of color pixels arrayed according to predetermined rules. The conversion area controlling section  321   b  acquires white balance control information based on information of the luminance of each of the color pixels (R pixels, G pixels, and B pixels according to the present embodiment) as image quality adjusting information. 
     The conversion area controlling section  321   b  is configured to acquire positional information (e.g., the coordinates of a left upper end pixel and the length in the X-axis directions and the length in the Y-axis directions) of each of the regions of interest ROI as image quality adjusting information. The conversion area controlling section  321   b  outputs the positional information of the regions of interest ROI, the luminance information of the pixels that make up the regions of interest ROI, and the luminance information of the color pixels that make up the regions of interest ROI, which have been acquired as image quality adjusting information, in association with the region numbers of the regions of interest ROI, to the transmitting section  322 . Moreover, the conversion area controlling section  321   b  acquires and outputs the value of a digital gain and exposure information of regions of interest that have been established at the present time to the transmitting section  322 . 
     The transmitting section  322  generates transmission data (see  FIGS. 6 and 12 ) including the image quality adjusting information per region of interest ROI input from the sensor CPU  321 , the value of the digital gain and the exposure information of the reference region of interest established at the present time, the image data input from the image capturing section  31 , etc., and sends out the transmission data to the video receiving apparatus  4 . The image quality adjusting information is included in the ROI information and sent out from the transmitting section  322 . Since the ROI information is included in the embedded data, the image quality adjusting information is included in the embedded data and sent out from the transmitting section  322 . 
     As illustrated in  FIG. 19 , the video transmitting apparatus  3  includes the transmitting section  322  that sends out image data of regions of interest ROI as the payload data and information regarding the regions of interest ROI as embedded data. The transmitting section  322  includes demosaicing information as one piece of information regarding the regions of interest ROI in the embedded data and sends out the demosaicing information to the video receiving apparatus  4 . The transmitting section  322  is configured to send out transmission data including the demosaicing information, etc. according to the MIPI D-PHY standards, the MIPI C-PHY standards, or the MIPI CSI-2 standards, for example. 
     The video transmitting apparatus  3  includes a controlling section  33  and a nonvolatile storage section  34 . In a case where the video transmitting apparatus  3  determines a target to be imaged, the controlling section  33  controls the detection of the target to be imaged, image recognition, etc. The nonvolatile storage section  34  stores initial adjustment data for the video transmitting apparatus  3  and the video receiving apparatus  4 . The nonvolatile storage section  34  includes an EEPROM, for example. 
     As illustrated in  FIG. 14 , the video receiving apparatus  4  includes a controlling section  41  for controlling a predetermined signal processing process using transmission data transmitted from the video transmitting apparatus  3 . The controlling section  41  has a Cam CPU  411 , a receiving section  412 , a detecting section  413 , and an embedded data acquiring section  414 . The Cam CPU  411  is configured to perform the similar functions to the information processing section  220  (see  FIG. 8 ), except for the information extracting section  221  (see  FIG. 8 ). The receiving section  412  is configured to perform the similar functions to the receiving section  210  (see  FIG. 8 ), except for the EBD interpreting section  214  (see  FIG. 8 ). In the video receiving apparatus  4 , the embedded data acquiring section  414  is configured to perform the similar functions to the EBD interpreting section  214  and the information extracting section  221 . In the controlling section  41 , the receiving section  412  and the embedded data acquiring section  414  may be replaced with the receiving section  210 , and the Cam CPU  411  and the detecting section  413  may be replaced with the information processing section  220 . In this case, the functions of the information extracting section  221  that are performed by the embedded data acquiring section  414  are performed by the receiving section  220 . 
     As illustrated in  FIG. 14 , the video receiving apparatus  4  includes the receiving section  412  that receives a transmission signal where image data of regions of interest ROI in images are included in the payload data and information regarding the regions of interest ROI is included in the embedded data. The receiving section  412  is configured to receive transmission data input from the video transmitting apparatus  3 . The receiving section  412  receives the transmission data according to the MIPI D-PHY standards, the MIPI C-PHY standards, or the MIPI CSI-2 standards. The receiving section  412  is configured to generate various data from the input transmission data and outputs the generated data to the Cam CPU  411 , the detecting section  413 , and the embedded data acquiring section  414 . As illustrated in  FIG. 14 , the controlling section  41  included in the video receiving apparatus  4  is configured to control the extraction of image quality adjusting information including information for adjusting the image quality of a plurality of regions of interest ROI from a transmission signal (transmission data) received by the receiving section  412 . The controlling section  41  is configured such that the extraction of the image quality adjusting information is performed by the Cam CPU  411 , the detecting section  413 , and the embedded data acquiring section  414 . 
     The detecting section  413  is configured to extract information of the luminance of each of a plurality of regions of interest ROI as image quality adjusting information. The detecting section  413  is configured to calculate a reference detected value and a detected value (both represent an example of a control value) for controlling a digital gain (an example of an amplification degree) of image data of the regions of interest ROI on the basis of the ratio between information of the luminance of a reference region of interest (an example of one ROI) selected from the regions of interest ROI and information of the luminance of the remainder of the regions of interest ROI. The detecting section  413  extracts positional information and luminance information of all the regions of interest ROI that are included in the ROI information included in the transmission data, and calculates, as a reference detected value, an average value of luminance of the pixels that make up the region of interest ROI whose region number agrees with the region number of the reference region of interest input from the Cam CPU  411 . Moreover, with respect to the remaining regions of interest ROI, the detecting section  413  calculates an average value of luminance of the pixels that make up each of the regions of interest ROI as a detected value, in the similar manner to with the reference region of interest. The detecting section  413  outputs the calculated reference detected value and the calculated detected value in association with the region numbers of the regions of interest ROI to the Cam CPU  411 . 
     The detecting section  413  calculates detected values DT_ref_R, DT_ref_G, and DT_ref_B on the basis of the luminance of the color pixels that make up the reference region of interest for use in calculating white balance gains. Moreover, the detecting section  413  calculates detected values DT_Rn, DT_Gn, and DT_Bn on the basis of the luminance of the color pixels that make up the other regions of interest ROI than the reference region of interest for use in calculating white balance gains. The detecting section  413  calculates detected values DT_Rn, DT_Gn, and DT_Bn per region of interest ROI. The detecting section  413  outputs the calculated detected values DT_ref_R, DT_ref_G, and DT_ref_B and the calculated detected values DT_Rn, DT_Gn, and DT_Bn in association with the region numbers of the regions of interest ROI to the Cam CPU  411 . 
     The embedded data acquiring section  414  is configured to extract image quality adjusting information from ROI information included in a transmission signal (transmission data) input from the receiving section  412 . The ROI information is included in embedded data. Therefore, the embedded data acquiring section  414  is configured to extract image quality adjusting information from the embedded data. The embedded data acquiring section  414  acquires, as image quality adjusting information, positional information (e.g., the coordinates of a left upper end and the length in the X-axis directions and the length in the Y-axis directions), gain information, and exposure information of the regions of interest ROI sent out from the video transmitting apparatus  3 . The embedded data acquiring section  414  is configured to output the acquired information to the Cam CPU  411 . 
     The embedded data acquiring section  414  acquires, other than the image quality adjusting information, various pieces of information (for example, the number of regions of interest ROI, the region numbers and priority of the regions of interest ROI, the data lengths of the regions of interest ROI, the image format of the regions of interest ROI, etc.) included in the embedded data. The embedded data acquiring section  414  outputs the acquired various pieces of information to the Cam CPU  411 . 
     As illustrated in  FIG. 14 , the Cam CPU  411  has an exposure controlling section  411   a . The exposure controlling section (an example of the controlling section)  411   a  is configured to acquire exposure control information for controlling exposure from image quality adjusting information of a reference region of interest (an example of one ROI) selected from a plurality of regions of interest ROI. Specifically, the exposure controlling section  411   a  is configured to generate control information (an example of the exposure control information, e.g., a shutter speed, an iris (lens aperture), and a gain) for controlling the image capturing section  31  provided in the video transmitting apparatus  3  on the basis of the image quality adjusting information input from the detecting section  413  and the embedded data acquiring section  414 . For example, the exposure controlling section  411   a  is configured to extract control information for controlling exposure from image quality adjusting information of a reference region of interest selected from a plurality of regions of interest ROI. More specifically, the exposure controlling section  411   a  determines control information for controlling the image capturing section  31  from the reference detected value of the reference region of interest. The Cam CPU  411  sends out the control information generated by the exposure controlling section  411   a  to the sensor CPU  321  provided in the video transmitting apparatus  3 . 
     As illustrated in  FIG. 14 , the Cam CPU  411  has a conversion area controlling section  411   b . The conversion area controlling section  411   b  extracts positional information and luminance information of all the regions of interest ROI included in the ROI information included in the transmission data. The Cam CPU  411  determines a region of interest ROI whose size (image size) is largest as a reference region of interest, and outputs the region number of the region of interest ROI determined as the reference region of interest to the detecting section  413 . 
     The conversion area controlling section  411   b  is configured to calculate digital gains DG_RR and DG_Rn to be applied to image data corresponding to the pixels that make up each of the regions of interest ROI, using the reference detected value and the detected value input from the detecting section  413  and the above equations (1) and (2). 
     The conversion area controlling section  411   b  is configured to calculate white balance gains (an example of white balance gain control information) based on information of the luminance of each of a plurality of color pixels of each of a plurality of regions of interest ROI. The conversion area controlling section  411   b  is configured to calculate white balance gains WB_gref_R, WB_gref_G, and WB_gref_B (an example of white balance gain control information) of the reference region of interest, using the detected values DT_ref_R, DT_ref_G, and DT_ref_B input from the detecting section  413  and the above equations (7) through (9). Moreover, the conversion area controlling section  411   b  is configured to calculate white balance gains WB_g_Rn, WB_g_Gn, and WB_g_Bn (an example of white balance gain control information) of the other regions of interest ROI than the reference region of interest, using the detected values DT_Rn, DT_Gn, and DT_Bn input from the detecting section  413  and the above equations (10) through (12). 
     Furthermore, the conversion area controlling section  411   b  is configured to calculate final white balance gains (an example of a control value) LWB_g_Rn, LWB_g_Gn, and LWB_g_Rn for controlling white balance by adding, at a predetermined ratio, the white balance gains WB_gref_R, WB_gref_G, and WB_gref_B of the reference region of interest selected from the regions of interest ROI and the white balance gains WB_g_Rn, WB_g_Gn, and WB_g_Bn of the other regions of interest ROI than the reference region of interest. The conversion area controlling section  411   b  calculates final white balance gains LWB_g_Rn, LWB_g_Gn, and LWB_g_Rn using the predetermined coefficient α as the predetermined ratio, the calculated white balance gains WB_gref_R, WB_gref_G, and WB_gref_B, the calculated white balance gains WB_g_Rn, WB_g_Gn, and WB_g_Bn, and the above equations (13) through (15). 
     The conversion area controlling section  411   b  outputs the calculated digital gains DG_RR and DG_Rn and the calculated final white balance gains LWB_g_Rn, LWB_g_Gn, and LWB_g_Rn in association with the region numbers of the regions of interest ROI, together with information of the priority of the regions of interest, to an image quality adjustment processing section  42 . 
     As illustrated in  FIG. 14 , the video receiving apparatus  4  includes the image quality adjustment processing section  42  that processes the adjustment of image quality of the plurality of ROIs using the image quality adjusting information extracted by the controlling section  41 . 
     The image quality adjustment processing section  42  has an amplifying section  421  for amplifying image data input from the Cam CPU  411  with the digital gains DG_RR and DG_Rn calculated by the conversion area controlling section  411   b . The amplifying section  421  amplifies the image data with the digital gains DG_RR and DG_Rn that are associated with the region numbers in conformity with the regions numbers associated with the image data. The amplifying section  421  outputs the image data amplified on the basis of the digital gains DG_RR and DG_Rn to an image generating section  422 . 
     The image quality adjustment processing section  42  includes the image generating section  422  that performs a Raw process, an RGB process, and a YC process on the image data of the regions of interest ROI that have been amplified by the amplifying section  421 . 
     When the image generating section  422  is supplied with image data input from the amplifying section  421 , the image generating section  422  acquires information (ROI information) regarding a region of interest ROI including the image data from the Cam CPU  411  and generates an image of the region of interest ROI. For generating an image of the region of interest ROI, first, the image generating section  422  performs the Raw process to generate a region of interest ROI represented by a Raw image. Next, the image generating section  422  performs the RBG process to generate an image of the region of interest ROI represented by image data of RGB signals. 
     The image generating section  422  performs white balance control in the RGB process. Specifically, the image generating section  422  adjusts the white balance of the image data with the final white balance gains LWB_g_Rn, LWB_g_Gn, and LWB_g_Rn associated with the region number in conformity with the region number of the region of interest ROI represented by the image data of RGB signals. After having adjusted the white balance, the image generating section  422  performs color difference correction and the YC process such as noise reduction on image data of luminance and two color difference signals. The image generating section  422  outputs the image data of RGB signals of the region of interest ROI thus processed to an image quality adjusting section  423 . 
     The image quality adjusting section  423  is configured to perform an inverse RGB process for converting image data of RGB signals input from the image generating section  422  into a luminance signal and two color difference signals. Moreover, the image quality adjusting section  423  is configured to perform a gamma correction process on image data that have been inverse-RGB-converted. Furthermore, the image quality adjusting section  423  is configured to perform color difference correction and the YC process such as noise reduction or the like on image data of luminance and two color difference signals. The image quality adjusting section  423  is configured to output an image whose image quality has been adjusted to a display device (not illustrated). The image where image defects have been corrected and image quality has been adjusted is thus displayed on the display device. 
     (Image Quality Adjustment Processing Method) 
     Next, an image quality adjustment processing method in the transmitting apparatus, the receiving apparatus, and the transmission system according to the present embodiment will be described below using  FIG. 15  with reference to  FIG. 14 .  FIG. 15  is a flowchart illustrating an example of sequence of an image quality adjusting process in the transmitting apparatus, the receiving apparatus, and the transmission system according to the present embodiment. 
     (Step S 31 ) 
     As illustrated in  FIG. 14 , when the sensor CPU  321  included in the video transmitting apparatus  3  detects a frame starting trigger, the sensor CPU  321  acquires control information for controlling the image capturing section  31 , and then goes to the processing of step S 33 . The control information acquired in step S 31  is information sent out by the video receiving apparatus  4  and represents a shutter speed, an iris (lens aperture), a gain, etc. 
     (Step S 33 ) 
     The sensor CPU  321  controls the image capturing section  31  on the basis of the acquired control information, and then goes to the processing of step S 35 . The image capturing section  31  thus captures an image of a target to be imaged on the basis of the newly established control information. 
     (Step S 35 ) 
     The sensor CPU  321  acquires positional information, a gain, exposure information, luminance information, etc. of each of a plurality of regions of interest ROI established in the image capturing region of the image capturing section  31 , and then goes to the processing of step S 37 . 
     (Step S 37 ) 
     The sensor CPU  321  sets transmission data including ROI information that includes the positional information of each of the regions of interest ROI, the gain, the exposure information, the luminance information, etc. thereof, which are obtained in step S 35 , in the transmitting section  322 , and then ends the image quality adjusting process. 
     The transmission data set in step S 37  is transmitted from the video transmitting apparatus  3  to the video receiving apparatus  4  by way of communication through hardware (HW) using MIPI. 
     The receiving section  412  included in the video receiving apparatus  4  extracts the embedded data from the received transmission data and outputs the embedded data to the embedded data acquiring section  414 . The embedded data acquiring section  414  decodes the embedded data input from the receiving section  412 , acquires various pieces of information (for example, the number of regions of interest ROI, the region numbers and priority of the regions of interest ROI, the data lengths of the regions of interest ROI, the image format of the regions of interest ROI, etc.), and outputs the acquired various pieces of information to the Cam CPU  411 . 
     (Step S 41 ) 
     The Cam CPU  411 , triggered by the timing at which the embedded data are decoded by the embedded data acquiring section  414 , determines a reference region of interest on the basis of the various pieces of information acquired and input by the embedded data acquiring section  414  from the transmission data received by the receiving section  412 , and then goes to the processing of step S 43 . In step S 41 , the Cam CPU  411  determines a region of interest whose image size is largest, for example, among a plurality of regions of interest ROI, as the reference region of interest. 
     (Step S 43 ) 
     The Cam CPU  411  calculates exposure control information for controlling exposure from acquired information of the luminance of the reference region of interest, and then goes to the processing of step S 45 . The exposure controlling section  411   a  provided in the Cam CPU  411  calculates and acquires a shutter speed, an iris (lens aperture), a gain, an analog gain etc. as the exposure control information. 
     (Step S 45 ) 
     The Cam CPU  411  sends out the exposure control information calculated in step S 43  to the video transmitting apparatus  3 , and then goes to the processing of step S 47 . 
     (Step S 47 ) 
     The Cam CPU  411  calculates digital gains DG_RR and DG_Rn to be applied to image data corresponding to the pixels that make up each of the regions of interest ROI, using the reference detected value and the detected value input from the detecting section  413  and the above equations (1) and (2), and then goes to the processing of step S 49 . 
     (Step S 49 ) 
     The Cam CPU  411  calculates final white balance gains LWB_g_Rn, LWB_g_Gn, and LWB_g_Rn using the predetermined coefficient α as the predetermined ratio, the calculated white balance gains WB_gref_R, WB_gref_G, and WB_gref_B, the calculated white balance gains WB_g_Rn, WB_g_Gn, and WB_g_Bn, and the above equations (13) through (15), and ends the image quality adjusting process. 
     With the video transmitting apparatus  3 , the video receiving apparatus  4 , and the transmission system  10  according to the present embodiment, the video receiving apparatus  4  is configured to determine a reference region of interest and to calculate a reference detected value and a detected value, a digital gain, an analog gain, and final white balance gains. With the transmitting apparatus, the receiving apparatus, and the transmission system according to the present embodiment, however, the transmitting apparatus may be configured to determine a reference region of interest and to calculate a reference detected value and a detected value, a digital gain, an analog gain, and final white balance gains. 
     In this case, the controlling section included in the transmitting apparatus may be configured to calculate a reference detected value and a detected value (both represent an example of a control value) for controlling a digital gain (an example of an amplification degree) of image data of a plurality of regions of interest ROI on the basis of the ratio between information of the luminance of a reference region of interest (an example of one ROI) selected from the regions of interest ROI and information of the luminance of the remainder of the regions of interest ROI (an example of a ROI). 
     In this case, furthermore, the controlling section included in the transmitting apparatus may be configured to calculate white balance gains (an example of a control value) for controlling final white balance gains by adding, at a predetermined ratio, white balance control information of a reference region of interest (an example of one ROI) selected from a plurality of regions of interest and white balance control information of the luminance of the remainder of the regions of interest (an example of a ROI). 
     In other words, the controlling section  32  may be configured to perform the similar functions to the conversion area controlling section  411   b  and the detecting section  413  (see  FIG. 14 ). Moreover, the video transmitting apparatus  3  may send out a digital gain and final white balance gains in association with regions of interest to the video receiving apparatus  4 . In this case, the video receiving apparatus  4 , even if it lacks the conversion area controlling section  411   b  and the detecting section  413 , can apply a digital gain and white balance to image data with the image quality adjustment processing section  42  using information including the digital gain, the final white balance gains, the ROI information, and the image data sent out from the video transmitting apparatus  3 . 
     4. Modification of the Embodiment of the Present Disclosure 
     Next, a transmitting apparatus, a receiving apparatus, and a transmission system according to a modification of the present embodiment will be described below using  FIG. 16 .  FIG. 16  is a diagram illustrating the principles of an image quality adjusting process according to the present modification. The present modification is different from the above embodiment as to a method of determining a reference region of interest. 
     According to the present modification, as illustrated in  FIG. 16 , a reference region Rr for selecting a reference region of interest is designated. The reference region Rr has an oblong rectangular shape, for example. The reference region Rr has left upper coordinates set to (X_ref, Y_ref), for example, and a size (region size) set to (W_ref×H_ref). 
     Next, a region of interest whose central coordinates exist in the reference region Rr is extracted as a reference region of interest. For example, in a case where the center of a region of interest has an X coordinate larger than the X coordinate (X_ref) of the reference region Rr and smaller than an X coordinate represented by the sum of the X coordinate (X_ref) of the reference region Rr and the region size (W_ref) in the X-axis directions of the reference region Rr, and the center of the region of interest has a Y coordinate larger than the Y coordinate (Y_ref) of the reference region Rr and smaller than an Y coordinate represented by the sum of the Y coordinate (Y_ref) of the reference region Rr and the region size (H_ref) in the Y-axis directions of the reference region Rr, the region of interest is extracted as a reference region of interest. In the example illustrated in  FIG. 16 , a region of interest ROI 1  and a region of interest ROI 3  are extracted as reference regions of interest whose central coordinates exist in the reference region Rr. 
     According to automatic exposure control, a reference detected value L_ref is calculated using information of the luminance of the pixels that make up a reference region of interest. In a case where a plurality of reference regions of interest is extracted, an average value of the reference detected values of the respective reference regions of interest may be regarded as a reference detected value L_ref. Moreover, the calculated reference detected value may be weighted depending on the distances between the central point of the reference region Rr and the central points of the reference regions of interest. In this case, a larger coefficient is assigned to the reference detected value as the distance becomes smaller. Furthermore, the calculated reference detected value may be weighted depending on the area where the reference regions of interest are included in the reference region Rr. In this case, a larger coefficient is assigned to the reference detected value as the area becomes larger. 
     Digital gains of the reference region of interest and regions of interest other than the reference region of interest are calculated using the calculated reference detected value L_ref and the equations (1) and (2) described above. 
     According to automatic white balance control, a detected value DT_ref_R of R pixels, a detected value DT_ref_G of G pixels, and a detected value DT_ref_B of B pixels are calculated using information of the luminance of the respective R pixels, G pixels, and B pixels that make up a reference region of interest. In a case where a plurality of reference regions of interest is extracted, average values of the detected values of the respective colors of the reference regions of interest may be regarded as detected values DT_ref_R, DT_ref_G, and DT_ref_B. The calculated reference detected values may be weighted depending on the distances between the central point of the reference region Rr and the central points of the reference regions of interest. In this case, a larger coefficient is assigned to the detected value as the distance becomes smaller. Furthermore, the calculated reference detected value may be weighted depending on the area where the reference regions of interest are included in the reference region Rr. In this case, a larger coefficient is assigned to the detected value as the area becomes larger. 
     Final white balance gains of the reference region of interest and the regions of interest other than the reference region of interest are calculated using the calculated detected values DT_ref_R, DT_ref_G, and DT_ref_B and the equations (7) through (15) described above. 
     The present modification is similar to the above embodiment except that it has a different method of calculating a reference detected value in the automatic exposure control process and detected values in the automatic white balance control process. Therefore, the transmitting apparatus, the receiving apparatus, and the transmission system according to the present modification can be of the similar configuration to the video transmitting apparatus  3 , the video receiving apparatus  4 , and the transmission system  10  according to the above embodiment, and will be omitted from description. 
     As described above, the transmitting process, the receiving process, and the transmission system according to the present embodiment and the present modification is capable of performing an image quality adjusting process (e.g., an automatic exposure control process and an automatic white balance control process) on a partial region of interest (ROI) segmented from a captured image. 
     The present disclosure is not limited to the above embodiment, but can be modified in various ways. 
     The above embodiment and modification have been described with respect to an object as a segmentation target that is of a rectangular shape, for example. However, an image quality adjusting process (e.g., an automatic exposure control process and an automatic white balance control process) can be performed in a case where an object as a segmentation target is not of a rectangular shape. For example, the video transmitting apparatus  3  may include the positional information and luminance of a target object in the payload per pixel row and send out them to the video receiving apparatus  4 , as is the case with the presupposed technology  2 . Since information of the luminance of the pixels and color pixels that make up a region of interest ROI is thus obtained, a digital gain in the automatic exposure control process and final white balance gains in the automatic white balance control process can be calculated. 
     According to the above embodiment and modification, the conversion area controlling section (an example of a controlling section)  321   b  is configured to select a region of interest ROI whose size (image size) is largest or a region of interest ROI whose central coordinates exist in the reference region Rr as a reference region of interest (an example of one ROI). However, the present disclosure is not limited to such details. For example, the conversion area controlling section  321   b  may select a reference region of interest on the basis of some or all of the x coordinates or y coordinates of respective left upper pixels or the respective lengths in the x-axis directions or the respective lengths in the y-axis directions of a plurality of regions of interest ROI. 
     A region of interest whose distance from the segmented position to the central position of the image capturing region IR is shortest may be selected as a reference region of interest. 
     A plurality of regions of interest may be selected as reference regions of interest. 
     In a case where detected information (average pixel value) can be acquired from the image capturing section, the detected information may be regarded as a reference detected value. In this case, a reference region of interest may not be established. 
     An overall image captured by the image capturing section may be sent at intervals of 1/N frame and may be selected as reference regions of interest. 
     A reference region of interest may be determined on the basis of the relationship between an image in a preceding frame and an image in a present frame. For example, of a plurality of regions of interest included in the present frame, a region of interest that is closest, for example, to the reference region of interest in the preceding frame may be selected as a reference region of interest. 
     In automatic exposure control, automatic white balance control, and AE control, regions of interest that are different from each other according to independent standards may be selected as reference regions of interest. 
     The present disclosure has been described above with respect to the presupposed technologies, the embodiment, and the modification thereof. However, the present disclosure is not limited to the above embodiment, etc., but various changes and modifications may be made therein. Incidentally, the advantages set forth in the present description are given by way of illustrative example only. The advantages of the present disclosure are not limited to those set forth in the present description. The present disclosure may have other advantages than the advantages set forth in the present description. 
     Furthermore, the present disclosure may have the following arrangements, for example: 
     (1) 
     A transmitting apparatus including: 
     a controlling section that controls acquisition of image quality adjusting information including information for use in adjusting image quality of each of a plurality of ROIs (Regions of Interest); and 
     a transmitting section that sends out image data of the plurality of ROIs as payload data and sends out ROI information of each of the plurality of ROIs as embedded data. 
     (2) 
     The transmitting apparatus according to (1), in which the image quality adjusting information is included in the ROI information and sent out from the transmitting section. 
     (3) 
     The transmitting apparatus according to (1) or (2), in which the controlling section acquires information of luminance of each of the plurality of ROIs as the image quality adjusting information. 
     (4) 
     The transmitting apparatus according to (3), in which the controlling section acquires exposure control information for controlling exposure from the image quality adjusting information of one ROI selected from the plurality of ROIs. 
     (5) 
     The transmitting apparatus according to (4), in which the controlling section calculates a control value for controlling the amplification degree of the image data of the plurality of ROIs on the basis of the ratio between information of the luminance of the one ROI and information of the luminance of the remainder of the plurality of ROIs. 
     (6) 
     The transmitting apparatus according to any one of (1) through (5), in which 
     the ROIs have a plurality of color pixels arrayed according to predetermined rules, and 
     the controlling section calculates white balance control information based on information of luminance of each of the plurality of color pixels. 
     (7) 
     The transmitting apparatus according to (6), in which the controlling section calculates a control value for controlling white balance by adding, at a predetermined ratio, the white balance control information of one ROI selected from the plurality of ROIs and white balance control information of remaining ROIs. 
     (8) 
     The transmitting apparatus according to any one of (1) through (7), in which the transmitting section sends out a signal according to MIPI (Mobile Industry Processor Interface) D-PHY standards, MIPI C-PHY standards, or MIPI CSI (Camera Serial Interface)-2 standards. 
     (9) 
     A receiving apparatus including: 
     a receiving section that receives a transmission signal including image data of a plurality of ROIs (Regions Of Interest) in payload data and including ROI information of each of the plurality of ROIs in embedded data; 
     a controlling section that controls extraction of image quality adjusting information including information for use in adjusting image quality of the plurality of ROIs from the transmission signal received by the receiving section; and 
     a processing section that performs an adjustment of the image quality of the plurality of ROIs using the image quality adjusting information extracted by the controlling section. 
     (10) 
     The receiving apparatus according to (9), in which the controlling section extracts the image quality adjusting information from the ROI information included in the transmission signal. 
     (11) 
     The receiving apparatus according to (9) or (10), in which the controlling section extracts information of luminance of each of the plurality of ROIs as the image quality adjusting information. 
     (12) 
     The receiving apparatus according to (11), in which the controlling section extracts exposure control information for controlling exposure from the image quality adjusting information of one ROI selected from the plurality of ROIs. 
     (13) 
     The receiving apparatus according to (12), in which the controlling section selects the one ROI on the basis of some or all of the x coordinates or y coordinates of respective left upper pixels or the respective lengths in x-axis directions or the respective lengths in y-axis directions of the plurality of ROIs. 
     (14) 
     The receiving apparatus according to (12), in which the controlling section calculates a control value for controlling the amplification degree of the image data of the plurality of ROIs on the basis of a ratio between information of the luminance of the one ROI and information of the luminance of the remainder of the plurality of ROIs. 
     (15) 
     The receiving apparatus according to any one of claims (9) through (14), in which 
     the ROIs have a plurality of color pixels arrayed according to predetermined rules, and 
     the controlling section calculates white balance control information based on information of luminance of each of the plurality of color pixels. 
     (16) 
     The receiving apparatus according to (15), in which the controlling section calculates a control value for controlling white balance by adding, at a predetermined ratio, the white balance control information of one ROI selected from the plurality of ROIs and white balance control information of remaining ROIs. 
     (17) 
     The receiving apparatus according to any one of (9) through (16), in which the receiving section receives a signal according to MIPI (Mobile Industry Processor Interface) D-PHY standards, MIPI C-PHY standards, or MIPI CSI (Camera Serial Interface)-2 standards. 
     (18) 
     A transmission system including: 
     a transmitting apparatus including a controlling section that controls acquisition of image quality adjusting information including information for use in adjusting image quality of each of a plurality of ROIs (Regions of Interest), and a transmitting section that sends out image data of the plurality of ROIs as payload data and sends out ROI information of each of the plurality of ROIs as embedded data; and 
     a receiving section that receives a transmission signal including image data of a plurality of ROIs (Regions Of Interest) in payload data and including ROI information of each of the plurality of ROIs in embedded data, a controlling section that controls extraction of image quality adjusting information including information for use in adjusting image quality of the plurality of ROIs from the transmission signal received by the receiving section, and a processing section that performs an adjustment of the image quality of the plurality of ROIs using the image quality adjusting information extracted by the controlling section. 
     It will be understood that those skilled in the art can anticipate various corrections, combinations, sub-combinations, and changes depending on design requirements and other factors as falling within the scope of attached claims and the scope of their equivalents. 
     REFERENCE SIGNS LIST 
     
         
         
           
               10 : Video transmission system 
               3 ,  100 : Video transmitting apparatus 
               4 ,  200 : Video receiving apparatus 
               31 ,  110 : Image capturing section 
               32 ,  41 ,  33 : Controlling section 
               34 : Nonvolatile storage section 
               42 : Image quality adjustment processing section 
               100 A: CSI transmitter 
               100 B: CCI slave 
               111 : Captured image 
               112 ,  112   a   1 ,  112   a   2 ,  112   a   3 ,  112   a   4 ,  112   b   1 ,  112   b   4 ,  123   a   4 ,  223 A: ROI image 
               112   b : Compressed image data 
               113 ,  114 : Positional information 
               115 : Priority 
               116 ,  116   a   1 ,  116   a   2 : Transmission image 
               118 : Image 
               120 ,  130 : Image processing section 
               120 A,  120 A 1 ,  120 A 2 ,  130 A,  147 B: Compressed image data 
               120 B: ROI information 
               120 C: Frame information 
               121 : ROI segmenting section 
               122 : ROI analyzing section 
               123 : Detecting section 
               124 : Priority setting section 
               125 ,  131 : Encoding section 
               126 : Image processing controlling section 
               140 : Transmitting section 
               141 : LINK controlling section 
               142 : ECC generating section 
               143 : PH generating section 
               144 ,  145 : ROI data buffer 
               144 : EBD buffer 
               146 : Normal image data buffer 
               147 : Combining section 
               147 A: Transmission data 
               200 A: CSI receiver 
               200 B: CCI master 
               210 : Receiving section 
               211 : Header separating section 
               212 : Header interpreting section 
               213 : Payload separating section 
               214 : EBD interpreting section 
               214 A: EBD data 
               215 : ROI data separating section 
               215 A,  215 B: Payload data 
               220 : Information processing section 
               221 : Information extracting section 
               221 A: Extracted information 
               222 : ROI decoding section 
               222 A: Image data 
               223 : ROI image generating section 
               224 : Normal image decoding section 
               224 A: Normal image 
               311 : Photoelectric converting section 
               312 : Signal converting section 
               313 ,  421 : Amplifying section 
               321 : Sensor CPU 
               321   a ,  411   a : Exposure controlling section 
               321   b ,  411   b : Conversion area controlling section 
               322 : Transmitting section 
               411 : Cam CPU 
               412 : Receiving section 
               413 : Detecting section 
               414 : Embedded data acquiring section 
               422 : Image generating section 
               423 : Image quality adjusting section