Abstract:
An video management method is provided. The video management method includes following steps. A video file is captured. Wherein an emotion tag corresponding to the image file is generated when capturing the video file. As such, the video file can be managed, classified, edited or added effects according to the scenario at the moment of capturing the video file.

Description:
RELATED APPLICATIONS 
       [0001]    This application claims priority to Taiwanese Application Serial Number 104125994 filed Aug. 10, 2015, the entirety of which is herein incorporated by reference. 
       BACKGROUND 
       [0002]    Field of Invention 
         [0003]    The present invention relates to a video management system and method thereof. More particularly, the present invention relates to video management system and method thereof with applying an emotion tag. 
         [0004]    Description of Related Art 
         [0005]    With the development of technology, digital image has been widely applied in people&#39;s daily life. In general, user may store the large amount of digital images in the electronic devices. Users can manually classify the digital images or manage these digital images by the order of the default configuration. For example, users can sort by file size, modification date or file name to manage the digital images. 
         [0006]    However, it is hard for users to determine or record the current emotion or the current physiological information of the photographer or the photographed for each digital image while capturing the large amount of images in order to manage these digital images. On the other hand, when the user wants to apply a special effect to the images, no matter the user manually or automatically selects the image effect, the image effect will be applied to all images or frames to make the whole video segment having the same effect. As such, the image effect cannot be properly applied to the video segment corresponding to the emotion or the physiological information of the photographer or the photographed at the moment of capturing the images. Therefore, this situation causes the limitation of digital image application. 
       SUMMARY 
       [0007]    One aspect of the present disclosure is related to a management method. The method includes: capturing a video file; wherein an emotion tag corresponding to the video file is generated when capturing the video file. 
         [0008]    Another aspect of the present disclosure is related to a video management system. In accordance with one embodiment of the present disclosure, the video management system includes: a video capture module and a processing device. The video capture module is configured far capturing a video file. The processing device is configured for generating an emotion tag corresponding to the video file when the video capture module captures the video file. 
         [0009]    Through the video management method and the video management system described above, user can obtain the emotion or the physiological information of the photographer or the photographed from each video file of the large amount video files. And, an emotion tag corresponding to the video file is generated according to emotion or the physiological information. Therefore, it is more flexible and more convenient to manage the video files, classify the video files, edit the video files or apply the effects to the video files. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0010]      FIG. 1  is a block diagram of a video management system according to one embodiment of the present invention. 
           [0011]      FIG. 2  is a block diagram of the internal components of a sensing module according to one embodiment of the present invention. 
           [0012]      FIG. 3  is a flowchart of a video management method according to one embodiment of the present invention. 
           [0013]      FIG. 4  is a block diagram of a video management system according to one embodiment of the present invention. 
           [0014]      FIG. 5  is a schematic diagram of a user interface of a video management system according to one embodiment of the present invention. 
           [0015]      FIG. 6  is a schematic diagram of a user interface of a video management system according to one embodiment of the present invention. 
           [0016]      FIG. 7  is a schematic diagram of a user interface of a video management system according to one embodiment of the present invention. 
       
    
    
     DETAILED DESCRIPTION 
       [0017]    Reference is made to  FIG. 1 ,  FIG. 1  is a block diagram of a video management system  100  according to one embodiment of the present invention. As shown in  FIG. 1 , the video management system  100  includes: a video capture module  10  and a processing device  30 . The video capture module  10  is configured for capturing a video file. The video capture module  10  is also coupled to the processing device  30  by wire or wireless method. The processing device  30  is configured for processing the video files captured by the video capture module  10 . 
         [0018]    In one embodiment, the processing device  30  includes a facial expression identification module  32 , an emotion analysis module  34 , an emotion tag generation module  36  and an output unit  38 . The facial expression identification module  32  of the processing device  30  is electrically coupled to the video capture module  10 . The emotion analysis module  34  is electrically coupled to the facial expression identification module  32 . The emotion tag generation module  36  is electrically coupled to the emotion analysis module  34 . The facial expression identification module  32  is configured for identifying a user&#39;s facial expression in the video file captured from the video capture module  10 . The emotion analysis module  34  is configured for analyzing the emotion of the facial expression in the video file. For example, the emotion analysis module  34  compares the identified facial expression to the pre-stored expression in database  42  related to the emotion, so as to analyze that the captured facial expression belongs to what kinds of emotion. The emotion tag generation module  36  is configured for generating the emotion tag according to the emotion analysis module  34 . The emotion tag generation module  36  also combines the emotion tag with the video file or generates the emotion tag corresponding to the video file, and then the emotion tag is stored in a default or specific temporary fodder (e.g. the emotion tag is stored in a storing unit  40 ). Next, when user wants to add a video effect corresponded to the emotion tag of the video file through the processing device  30 , the output unit  38  outputs the video file, which is added the video effect. 
         [0019]    It&#39;s worth mentioning that in every embodiment of present invention, the processing device  30  can be a processor or a controller. Wherein, the facial expression identification module  32 , the emotion analysis module  34 , the emotion tag generation module  36  and the output unit  38  configured in the processing device  30  can be implemented respectively or along with each other. And, the facial expression identification module  32 , the emotion analysis module  34 , the emotion tag generation module  36  and the output unit  33  can be implemented by a micro controller, a microprocessor, a digital signal processor, an application specific integrated circuit (ASIC), a firmware, a program, or a logical circuitry. The video capture module  10  can be a digital camera including a charge coupled device (CCD) or complementary metal-oxide semiconductor(CMOS) and a radio component. 
         [0020]    In other words, the video capture module  10  is configured for capturing the video file. And, the processing device  30  is configured for generating the emotion tag corresponded to the video file. Wherein, the video file can include at least one of an image file, an audio file and a segment of a video. For example, user can use the video capture module  10  (e.g. a digital camera) to capture a video file and the content of the video file includes a child image. Next, the facial expression identification module  32  of the processing device  30  identifies the facial expression of the child. If the facial expression identification module  32  of the processing device  30  determines that the child&#39;s face expression is a smiling face, the emotion analysis module  34  analyzes the emotion of the child as a happy emotion. The emotion tag generation module  36  generates the emotion tag corresponding to the child&#39;s face image. In addition, this emotion tag is configured for presenting a happy property. For another example, the voice message of the child of the video file can be captured by the radio component of the video capture module  10 . If the voice is noisy (for example, the default values of the voice frequency and the voice volume can be used as a judging criteria), the emotion analysis module  34  analyzes the emotion of the child as an exciting emotion. And, the emotion tag generation module  36  generates the emotion tag corresponded to the child&#39;s face image. In addition, this emotion tag is configured for presenting an exciting property. Therefore, the user can use the emotion tag to further classify the video file, edit the video file or apply the effect to the video file. 
         [0021]    In one embodiment, the facial expression identification module  32  can use the voice or the face expression (e.g. an angle of the corner of the mouth up or a movement range of the corner of the eye) of the video file to determine the emotion of the photographer or the photographed. For example, when the facial expression identification module  32  determines the mouth up angle of the photographed of the video file is larger than an angle threshold, and also the photographer makes the sound louder, the emotion analysis module  34  can analyze that the photographer or the photographed has the exciting emotion at the moment of capturing the video file. And, the emotion tag generation module  36  generates the emotion tag corresponding to the segment of the video file. This emotion tag is configured for presenting the exciting emotion. Further, based on the video file captured by the video capture module  10 , the emotion tag generation module  36  can generate the emotion tag corresponding to the video file, so as to manage the video file or apply the video file according to the emotion tag. 
         [0022]    In one embodiment, the video management system  100  further includes a storage unit  40  for storing different kinds of data For example, the storage unit  40  can be implemented as memory, disk or memory card. In one embodiment, the storage unit  40  further includes a database  42 . 
         [0023]    In one embodiment, the video management system  100  further includes a user interface  50  for providing an operation interface to a user. 
         [0024]    In one embodiment, the video management system  100  further includes sensing module  20 . In one embodiment, the sensing module  20  is composed of at least one sensor. The sensing module  20  is coupled to the processing device  30  and the video capture module  10  by wire or wireless manner. The sensing module  20  is configured for measuring the physiological information sensing signal. The physiological information sensing signal can include a pupil sensing value, a temperature sensing value, a heartbeat sensing value and a skin perspiration sensing value. Please refer to  FIG. 2 ,  FIG. 2  is a block diagram of the internal components of a sensing module  20  according to one embodiment of the present invention. In  FIG. 2 , the sensing module  20  includes a pupil sensing sensor  22 , a temperature sensing sensor  24 , a heartbeat sensing sensor  26  and a skin perspiration sensing sensor  28 . Wherein, the pupil sensing sensor  22  is configured for sensing the pupil size of user, the temperature sensing sensor  24  is configured for sensing the temperature of the user, the heartbeat sensing sensor  26  is configured for sensing the heartbeat frequency and the heartbeat times of the user, and the skin perspiration sensing sensor  28  is configured for sensing the perspiration degree of the user. 
         [0025]    In one embodiment, the sensing module  20  is configured for using multiple sensors to detect the physiological information sensing signal at the moment of capturing the video file. And, the sensing module  20  transmits the physiological information sensing signal to the emotion analysis module  34  of the processing device  30 . The emotion analysis module  34  determines an emotion property in accordance with the physiological information sensing signal and enables the emotion tag generation module  36  to generate the emotion tag according to the emotion property. For example, when the skin perspiration sensing sensor  28  detects the more sweat from the part of the photographer&#39;s skin which touched to the video capturing device and the pupil sensing sensor  22  calculates the larger pupil of the photographed of the video file, the emotion analysis module  34  determines that the photographer and the photographed both have the nervous or exciting emotion property. And, the emotion tag generation module  36  generates the emotion tag corresponding to the segment of video file. This emotion tag is configured for presenting a nervous or an exciting property. In another embodiment, the video management system  100  can adopt using the sensing module  20  and the expression identification module  32  in the same time to more precisely detect the current emotion of the user by the physiological information sensing signal and the facial expression at the moment of capturing the video file. 
         [0026]    On the other hand, the video capture module  10 , the sensing module  20 , the processing device  30 , the storing unit  40 , the user interface  50  can be realized in a mobile device. 
         [0027]    Next, please refer to  FIGS. 1-3 ,  FIG. 3  is a flowchart of a video management method  300  according to one embodiment of the present invention. To simplify the description below, in the following paragraphs, the video management system  100  shown in  FIG. 1  will be used as an example to describe the video management method  300  shown in  FIG. 3  according to the embodiment of the present disclosure. However, the present disclosure is not limited thereto. 
         [0028]    In step S 301 , the video capture module  10  is configured for capturing a video file. In one embodiment, the video file includes a photo, a video or other media files. For example, user can use the video capture module  10  to capture the face image of a child. 
         [0029]    In step S 303 , the processing device  30  is configured for generating an emotion tag corresponding to the video file when the video capture module  10  captures the video file. For example, the processing device  30  can generate an emotion tag corresponding to the video file. Wherein, the emotion tag can be generated by a facial expression detected from the expression identification module  32  of the processing device  30  or a physiological information sensing signal detected from the sensing module  20  of the processing device  30 . In another embodiment, the processing device  30  can generate the emotion tag corresponding to the video file according to both facial expression and physiological information sensing signal. Besides, the emotion tag can be implemented as adding an emotion tag column to the file information column (e.g. the capturing video time column, location column, and file size column) of the video file. Or, the emotion tag can be implemented as further generating a tag file and attached the tag file to the video file, so as to record the emotion tag. 
         [0030]    On another hand, the processing device  30  does not need to generate the emotion tag immediately. For example, the processing device  30  can use for generating an emotion tag after capturing or recording the video file. 
         [0031]    In one embodiment, after the video capture module  10  obtains the video file and/or the sensing module  20  receives the physiological information sensing signal, the emotion tag corresponding to the video file is generated by the processing device  30  on the mobile device according to the physiological information sensing signal. And, the emotion tag is stored in the database  42  of the mobile device. 
         [0032]    In another embodiment, please refer to  FIG. 4 ,  FIG. 4  is a block diagram of a video management system  400  according to one embodiment of the present invention. The difference between  FIG. 1  and  FIG. 4  is that  FIG. 4  further includes a cloud system  70 . Wherein, the cloud system  70  is coupled to the processing device  30 , the video capture module  10  and the sensing module  20  by wire or wireless manner. Further, the cloud system  70  includes a server (not illustrated). In one embodiment, the processing device  30 , the video capture module  10  and the sensing module  20  respectively includes a transmitting module. The transmitting module can transmit signal by wire or wireless manner. 
         [0033]    In this embodiment, the cloud system  70  has the same function as the processing device  30 . For example, in response to the video capture module  10  obtains the video file and/or the sensing module  20  receives the physiological information sensing signal, the video capture module  10  and/or the sensing module  20  respectively transmits the video file and/or the physiological information sensing signal to the server. In response to the video file and/or the physiological information sensing signal are transmitted, the server directly generates the emotion tag corresponding to the vide file according to the facial expression of the video file and/or the physiological information sensing signal and stores the emotion tag in the server. 
         [0034]    Therefore, after captured the video file, the cloud system  70  can directly generate the emotion tag corresponding to the video file according to the facial expression of the video file and/or the physiological information sensing signal. If the processing device  30  requires the emotion tag, the emotion will be transmitted from the server to the processing device  30  for performing the following processes. In this embodiment, by transmitting the video file and/or the physiological information sensing signal to the cloud system  70 , it can reduce the calculation loading of the processing device  30  placed in the mobile device. 
         [0035]    Besides, in some embodiment, the processing device  30  can generate multiple emotion tags corresponding to each time points along with the emotion change of a person in the video file. The following paragraphs further describe the embodiment of generating at least one emotion tag corresponding to the at least one video file However, the video management system  100  and the video management method  300  of present invention should not be limited to the description of the embodiments contained herein. 
         [0036]    Please refer to  FIG. 5 ,  FIG. 5  is a schematic diagram of a user interface  50  of a video management system  100  according to one embodiment of the present invention. In  FIG. 5 , the recording length of the video file IM 1  is 20 seconds. In the fifth second, the expression identification module  32  determines that the mouth up angle of the photographed is larger than an angle threshold and the heartbeat sensor  26  determines the heartbeat frequency is higher than a heartbeat threshold, the emotion analysis module  34  analyzes that the emotion of the person in the video file IM 1  is positive and infers that the person is in a happy emotion, so as to make the emotion tag generation module  36  generates the emotion tag LA on the position of the fifth second of the video file timeline TL. For instance, the emotion tag LA can be presented as a smile symbol. In the tenth second, the expression identification module  32  determines that down-turned mouth angle of the photographed and the skin perspiration sensing sensor  28  determines that the temperature of the photographer is lower than a temperature threshold, the emotion analysis module  34  analyzes that the emotion of the person in the video file IM 1  is negative and infers that the person is in a sad emotion, so as to make the emotion tag generation module  36  generates the emotion tag LB on the position of the tenth second of the video file timeline TL. For instance, the emotion tag LA can be presented as a crying face symbol. Next, In the seventeenth second, if the processing device  30  determines that the emotion of the person in the video file IM 1  is positive and infers that the person is in a happy emotion, the processing device  30  generates the emotion tag LC on the position of the seventeenth second of the video file timeline TL. 
         [0037]    Based on above, the video management system  100  can tag at least one emotion tag according to the emotions of each moment of capturing the video file. And, the video management system  100  can perform the other consequent applications according to the emotion tag. 
         [0038]    In one embodiment, the processing device  30  can add the video effect according to the emotion property of the emotion tag. Wherein, the video effect includes at least one of an audio file, a word file and an image file. 
         [0039]    For example, in  FIG. 5 , the processing device  30  adds the fancy frame effect and the delightful music to the segments (e.g. the fifth second and the seventeen second) of the video file IM 1  corresponded to the emotion tag LA, LC presenting the happy emotion. The output unit  38  outputs this interesting video after adding the video frame. On the other hand, the processing device  30  adds the gray scale effect and the sad music to the segments of the video file IM 1  corresponded to the emotion tag LB presenting the sad emotion. Also, the output unit  38  outputs the video after adding the video frame to present the emotion of the user at the video file capturing moment. 
         [0040]    In another embodiment, the processing device  30  can separately generate the emotion tag LA LB and LC corresponding to the multiple segments of the video file IM 1 . After the processing device  30  analyzes an emotion change of the emotion tag LA, LB and LC, the processing device  30  selects at least one segment from the segments of the video file IM 1  according the emotion change, which is corresponded to a default situation. Or, the processing device  30  selects the segments having the same emotion property after analyzing an emotion change of the emotion tag LA, LB and LC. And, the processing device  30  edits the at least one segment to form a selection file. For example, the processing device  30  selects the segments of the video file corresponded to the emotion tag LA, AC, which is presented the happy emotion, so as to generate a selection file of the video file IM 1 . For another example, if the emotion change presents that the default condition at the timing of the emotion tag LA, LB in the video file IM 1  is changed from presenting happy emotion to presenting sad emotion, the processing device  30  clips the segments corresponded to the emotion tag LA, LB into a selection file of video file IM 1 . 
         [0041]    Next, please refer to  FIG. 6 ,  FIG. 6  is a schematic diagram of a user interface of a video management system according to one embodiment of the present invention. In one embodiment, the recording length of the video file IM 2  is 30 seconds. In  FIG. 6 , the processing device  30  determines the emotion of the photographer and the photographed corresponding to each segment of the video file IM 2  and marks each segment of the video file IM 2  corresponded to different emotion by different colors of emotion tag. The processing device  30  adds at least one color mark or at least one label symbol in the video file IM 2  and marks the at least one color mark or the at least one label symbol on a timeline TL of the video file IM 2  according to the emotion tag TR, TG and TB when the video file is shown on the user interface  50 . 
         [0042]    For example, the processing device  30  determines that the emotion of photographer or the photographed as a happy property in the zero to the seventh seconds, the fourteenth to the nineteenth seconds, the twenty-seventh to the thirtieth seconds of the video file IM 2 . The processing device  30  marks a red line segment of emotion tag TR on the timeline TL. Besides, the processing device  30  determines that the emotion of photographer or the photographed as a sad property in the twenty-first to the twenty-seventh seconds of the video file IM 2 . The processing device  30  marks a blue line segment of emotion tag TB on the timeline TL. While the processing device  30  determines that the emotion of photographer or the photographed does not present any special emotion reaction in the seventh to fourteenth seconds and the nineteenth to twenty-first seconds of the video file IM 2 , the processing device  30  marks a green line segment of emotion tag TG on the timeline TL. 
         [0043]    Therefore, the processing device  30  can determine the content of the video file IM 2  to generate the multiple emotion tags TR, TG and TB according to the emotion of the photographer or the photographed at the moment of capturing the video file. In addition, the processing device  30  can add the different video effect corresponding to the emotion tags TR, TG and TB. For example, the processing device  30  applies the fancy word image and the delightful music to the segments corresponded to the emotion tag TR, which is presented the happy emotion (or positive emotion). Or, the processing device  30  applies the nostalgia effect and the sad music to the segments corresponded to the emotion tag TB, which is presented the sad emotion (or negative emotion) As such, the multiple effects of the emotion tag TR, TG and TB can be applied to each moment in the video file IM 2 , so as to bring more vivid visual effects to the user after applying the effects to the video file IM 2 . 
         [0044]    In one embodiment, the user can select the menu button on the user interface  50  to enable the processing device  30  clips the video segments having the similar emotion property of the emotion tag to a selection file, such as clipping all the video segments having the emotion tag TR (the zero to the seventh seconds, the fourteenth to the nineteenth seconds, the twenty-seventh to the thirtieth seconds) in the video file IM 2  to form a short video, so as to make this short video as a selection file of the video file IM 2 . 
         [0045]    Next, please refer to  FIG. 7 ,  FIG. 7  is a schematic diagram of a user interface  50  of a video management system  100  according to one embodiment of the present invention. In this embodiment, the user interface  50  includes a file display area RA, an mage fodder FA, FB and a video fodder FC. The file display area RA is configured for automatically displaying the photos or videos according to the default display sequence or the random display sequence in real-time. The image fodder FA can use for storing the photo having the happy (or positive) emotion property of the emotion tag. The processing device  30  can further classifies the image file into the image fodder corresponded to the emotion tag. The video fodder FC can use for storing all the videos. In another embodiment, the processing device  30  can further classifies the videos by the video fodder FC according to the information, such as the amount of different kinds of emotion tags, the similarity of the emotion property or the length of the lasting time, so as to classify the videos into the positive emotion property videos or the negative emotion property videos. 
         [0046]    Through the video management method and the video management system described above, the user can obtain the emotion or the physiological information of the photographer or the photographed from each video files. And, the emotion tag is generated according to the emotion and/or the physiological information at the moment of capturing each video foe. Therefore, it is more flexible and more convenient to manage the video files, classify the video files, edit the video files or apply the effects to the video files. 
         [0047]    Although the present invention has been described in considerable detail with reference to certain embodiments thereof, other embodiments are possible. Therefore, the scope of the appended claims should not be limited to the description of the embodiments contained herein.