Source: https://patents.google.com/patent/JP6357787B2/en
Timestamp: 2020-08-04 12:17:15
Document Index: 669738898

Matched Legal Cases: ['art 140', 'art 120', 'art 130', 'art 140', 'art 141', 'art 151']

JP6357787B2 - Data processing device - Google Patents
JP6357787B2
JP6357787B2 JP2014022045A JP2014022045A JP6357787B2 JP 6357787 B2 JP6357787 B2 JP 6357787B2 JP 2014022045 A JP2014022045 A JP 2014022045A JP 2014022045 A JP2014022045 A JP 2014022045A JP 6357787 B2 JP6357787 B2 JP 6357787B2
JP2014022045A
JP2015148981A (en
吉宏 神南
中村　暢達
2014-02-07 Application filed by 日本電気株式会社 filed Critical 日本電気株式会社
2014-02-07 Priority to JP2014022045A priority Critical patent/JP6357787B2/en
2015-08-20 Publication of JP2015148981A publication Critical patent/JP2015148981A/en
2018-07-18 Publication of JP6357787B2 publication Critical patent/JP6357787B2/en
The present invention relates to a data processing device, a data processing method, and a program for supporting a user's task of creating teacher data used for machine learning.
In fields such as video surveillance and video analysis, content such as image data is mechanically classified into several categories using a data processing device. For example, in a manufacturing process of a substrate such as a printed wiring board, the first related technique related to the present invention is to analyze image data obtained by imaging a substrate having a defect and classify the image data into categories according to the type of defect. (For example, refer to Patent Document 1). In order to perform such classification, it is necessary to learn the data processing apparatus. In order to learn the data processing apparatus, content such as input image data and teacher data that is an example of an input / output pair indicating the type of category to be output are required.
Generation of teacher data is basically performed manually. However, it takes a lot of time and effort to create appropriate teacher data. For this reason, some apparatuses and systems that support manual creation of teacher data have been proposed.
For example, regarding the creation of teacher data necessary for classification into categories according to the types of defects, a defect image of the printed wiring board is displayed on the display, and the user inputs the category that the displayed defect image belongs to Accepting from a keyboard and mouse has been proposed as a second related technique related to the present invention (see, for example, Patent Document 2).
In addition, inputting a certainty factor for a category at the same time as inputting the category has been proposed as a third related technique related to the present invention (see, for example, Patent Document 3). More specifically, when an operator selects a specific area displayed on the screen, a pull-down menu for inputting a category and a certainty factor is displayed on the screen, and a desired category and certainty are displayed by operating a mouse pointer on the menu. You can enter the degree.
JP 2011-158373 A JP 2003-317082 A JP 2006-189915 A
However, since the input with the keyboard and the mouse involves sound, the place where the teacher data is created is limited.
An object of the present invention is to provide a data processing apparatus that solves the above-described problem, that is, a problem that a place where teacher data is created is limited.
A data processing apparatus according to the first aspect of the present invention provides:
A touch panel unit that detects a touch operation and outputs detection information;
A flick detection unit that detects a flick direction from the detection information of the touch panel unit;
A label determining unit that determines a label representing a category to which the content belongs according to the direction of the flick;
A teacher data generation unit configured to display the content on the display unit and generate teacher data including the displayed content and the label determined by the label determination unit;
A data processing method according to the second aspect of the present invention includes:
A data processing method executed by a data processing device having a display unit and a touch panel unit that detects a touch operation and outputs detection information,
Display the content on the above display,
The direction of the flick is detected from the detection information of the touch panel unit,
The label representing the category to which the content belongs depends on the direction of the flick,
Teacher data having the content and the label is generated.
A computer having a display unit and a touch panel unit that detects touch operation and outputs detection information,
The content is displayed on the display unit, and functions as a teacher data generation unit that generates teacher data having the displayed content and the label determined by the label determination unit.
Since the present invention has the above-described configuration, teacher data can be created without being restricted by a place. This is because the user can input a label indicating the category to which the content belongs by an operation such as a flick that does not emit a sound like a keyboard or a mouse.
It is a block diagram of a 1st embodiment of the present invention. It is a figure which shows the structural example of the teacher data in the 1st Embodiment of this invention. It is a figure which shows the structural example of the correspondence table of a flick direction and a label in the 1st Embodiment of this invention. It is a figure which shows another structural example of the correspondence table of a flick direction and a label in the 1st Embodiment of this invention. It is a flowchart which shows an example of operation | movement of the 1st Embodiment of this invention. It is a flowchart which shows an example of the teacher data generation screen in the 1st Embodiment of this invention. It is a block diagram of the 2nd Embodiment of this invention. It is a figure which shows the structural example of the teacher data in the 2nd Embodiment of this invention. It is a figure which shows the structural example of the correspondence table of the flick speed in the 2nd Embodiment of this invention, and the reliability of a label. It is a flowchart which shows an example of operation | movement of the 2nd Embodiment of this invention. It is a block diagram of the 3rd Embodiment of this invention. It is a figure which shows the structural example of the correspondence table of the flick direction in the 3rd Embodiment of this invention, a label, and a certainty factor. It is a flowchart which shows an example of operation | movement of the 3rd Embodiment of this invention. It is a block diagram of the 4th Embodiment of this invention. It is a figure which shows the structural example of the classification result in the 4th Embodiment of this invention. It is a flowchart which shows an example of operation | movement of the machine learning part in the 4th Embodiment of this invention. It is a flowchart which shows an example of operation | movement of the classification | category part in the 4th Embodiment of this invention. It is a block diagram of the 6th Embodiment of this invention. It is a figure which shows the structural example of the correspondence table of the shake direction and label in the 6th Embodiment of this invention. It is a flowchart which shows an example of the operation | movement of the 6th Embodiment of this invention. It is a block diagram of the 7th Embodiment of this invention. It is a figure which shows the structural example of the correspondence table of the inclination direction and label in the 7th Embodiment of this invention. It is a flowchart which shows an example of the operation | movement of the 7th Embodiment of this invention. It is a block diagram of the 8th Embodiment of this invention. It is a figure which shows the structural example of the correspondence table of a gesture and a label in the 8th Embodiment of this invention. It is a flowchart which shows an example of the operation | movement of the 8th Embodiment of this invention.
Referring to FIG. 1, the data processing apparatus 100 according to the first embodiment of the present invention has a function of assisting a user in creating teacher data used for machine learning.
The data processing apparatus 100 includes a communication interface unit (hereinafter referred to as a communication I / F unit) 110, a screen display unit 120, a touch panel unit 130, a storage unit 140, and an arithmetic processing unit 150 as main functional units.
The communication I / F unit 110 includes a dedicated data communication circuit, and has a function of performing data communication with various devices connected via a communication line (not shown).
The screen display unit 120 includes a screen display device such as an LCD (Liquid Crystal Display) or a PDP (Plasma Display Panel), and has a function of displaying various information such as contents on the screen according to instructions from the arithmetic processing unit 150. doing.
The touch panel unit 130 includes an operation input device such as a touch panel, and has a function of detecting a user's touch operation and outputting detection information to the arithmetic processing unit 150. The detection information may be, for example, a coordinate value on the touched panel and its time information.
The storage unit 140 includes a storage device such as a hard disk or a memory, and has a function of storing processing information and programs 141 necessary for various processes in the arithmetic processing unit 150. The program 141 is a program that realizes various processing units by being read and executed by the arithmetic processing unit 150, and an external device (not shown) or the like via a data input / output function such as the communication I / F unit 110. It is read in advance from a storage medium (not shown) and stored in the storage unit 140. As main processing information stored in the storage unit 140, there are a plurality of content data 142, a correspondence table 143, and a plurality of teacher data 144.
The content data 142 is composed of a set of content and its ID. The content may be image data, audio data, text data, or any combination thereof. The content data 142 is read from an external device (not shown) or a storage medium (not shown) via a data input / output function such as the communication I / F unit 110 and stored in the storage unit 140.
The teacher data 144 is data used for machine learning. The teacher data 144 is generated from the content data 142 by a method to be described later and stored in the storage unit 140. FIG. 2 is a configuration example of the teacher data 144. Each teacher data 144 is composed of a set of ID 1441, content 1442, and label 1443. The content ID 1441 and the content 1442 are the same as the content ID and the content that constitute the content data 142. A label 1443 indicates a category to which the content 1442 belongs. There may be two types of categories, or three or more types. For example, when the data processing apparatus 100 is applied to video monitoring and an intruder is detected from each frame image captured by a monitoring camera (not shown), the content 1442 is uniquely identified as a frame image, and the ID 1441 is uniquely identified as the frame image. There are two types of frame number or time information and label 1443: “OK” indicating that there is no abnormality (no intruder is shown) and “NG” indicating that there is an abnormality (intruder is shown). It can be.
The correspondence table 143 is a table associating the flick direction with the label type. FIG. 3A is a configuration example of the correspondence table 143. In the correspondence table 143, when the flick direction θ is 0 ° or more and less than 90 ° and 270 ° or more and less than 360 °, it corresponds to the label of “OK”, and when it is 90 ° or more and less than 270 °, “NG”. This corresponds to the type of label. Accordingly, on the panel plane of the touch panel unit 130, as shown in FIG. 3B, the right direction is 0 °, the upper direction is 90 °, the left direction is 180 °, and the lower direction is 270 ° as viewed from the front of the panel. When the coordinate system is set, the label “OK” can be input when the user flicks rightward on the panel surface, and the label “NG” can be input when flicked leftward.
FIG. 4 is another configuration example of the correspondence table 143. In the correspondence table 143, when the flick direction θ is 0 ° or more and less than 45 °, it corresponds to a label of “Man”, and when it is 45 ° or more and less than 90 °, it corresponds to a label of “Boy”. When the angle is 90 ° or more and less than 135 °, the label corresponds to the label “Girl”, and when the angle is 135 ° or more and less than 180 °, the label corresponds to the label “Woman”.
The arithmetic processing unit 150 includes a processor such as an MPU and its peripheral circuits, and reads and executes the program 141 from the storage unit 140, thereby realizing various processing units by cooperating the hardware and the program 141. It has a function. As main processing units realized by the arithmetic processing unit 150, there are a flick detection unit 151, a label determination unit 152, and a teacher data generation unit 153.
The flick detection unit 151 has a function of detecting the flick direction from the detection information of the touch panel unit 130. For example, the flick detection unit 151 acquires and stores coordinates on the touched panel (hereinafter referred to as touch coordinates) and time information from the touch panel unit 130, and based on the touch coordinates from the start to the end of the touch, Whether or not a flick is detected, and if it is a flick, the direction of the flick may be detected. For example, if the distance between the touch coordinates at the start of touch and the touch coordinates at the end of touch is greater than or equal to a predetermined length, a flick may be detected. Further, the direction from the touch coordinates at the start of touch to the touch coordinates at the end of touch may be detected as a flick direction.
The label determination unit 152 has a function of determining a label representing a category to which the content displayed on the screen display unit 120 belongs, based on the flick direction detected by the flick detection unit 151. Specifically, the label determination unit 152 reads the correspondence table 143 from the storage unit 140, and the content belongs to the label recorded in the correspondence table 143 corresponding to the flick direction detected by the flick detection unit 151. Determine the label that represents the category.
For each content data 142, the teacher data generation unit 153 reads the content data 142 from the storage unit 140 and displays the content data 142 on the screen display unit 120. The teacher data generation unit 153 includes the displayed content data 142 and the label determined by the label determination unit 152. It has a function of generating data 144 and storing it in the storage unit 140.
Next, the operation of the data processing apparatus 100 according to the present embodiment will be described with reference to the flowchart of FIG.
When activated, the teacher data generation unit 153 in the arithmetic processing unit 150 of the data processing apparatus 100 reads one content data 142 from the storage unit 140 and displays it on the screen display unit 120 (step S101).
FIG. 6 shows an example of the teacher data generation screen 121 of the screen display unit 120. In this example, the teacher data generation screen 121 displays content 1442 at the center of the screen and displays ID 1441 on the left side. Further, guidance information for flicking to the right when “OK” and flicking to the left when “NG” is displayed on both sides of the content 1442.
The user confirms the content 1442 displayed on the screen display unit 120, determines the category of the content 1442, and flicks in a desired direction. In the example of FIG. 6, if the frame image of the displayed content 1442 is not abnormal (no intruder), flick rightward, and if there is an abnormality (intruder present), flick leftward. .
The flick detection unit 151 of the arithmetic processing unit 150 starts flick detection based on the detection information from the touch panel unit 130 after the teacher data generation unit 153 displays the content 1442 on the screen display unit 120 (step of FIG. 5). S102). When the flick detection unit 151 detects a flick, the flick detection unit 151 transmits the flick direction to the label determination unit 152. The label determination unit 152 determines a label based on the transmitted flick direction and the correspondence table 143 and transmits the label to the teacher data generation unit 153 (step S103).
When the teacher data generation unit 153 inputs a label from the label determination unit 152, the teacher data generation unit 153 generates teacher data 144 including the ID 1441 displayed on the screen display unit 120, the content 1442, and the input label 1443. It preserve | saves at the memory | storage part 140 (step S104). Next, the teacher data generation unit 153 confirms whether there is content in the storage unit 140 that is not yet displayed to the user (step S105). If undisplayed content remains, the process returns to step S101, and the same process as described above is repeated. On the other hand, if no undisplayed content remains, the teacher data generation unit 153 ends the teacher data generation process.
As described above, according to the present embodiment, teacher data can be created without being restricted by a place. This is because the user can input a label indicating the category to which the content belongs by an operation such as a flick that does not emit a sound like a keyboard or a mouse.
Referring to FIG. 7, the data processing device 200 according to the second embodiment of the present invention has a function of assisting the user in creating teacher data with certainty used for machine learning.
The data processing apparatus 200 includes a communication I / F unit 210, a screen display unit 220, a touch panel unit 230, a storage unit 240, and an arithmetic processing unit 250 as main functional units. Among these, the communication I / F unit 210, the screen display unit 220, and the touch panel unit 230 are the communication I / F unit 110, the screen display unit 120, and the touch panel unit 130 in the first embodiment of the present invention illustrated in FIG. Has the same function.
The storage unit 240 includes a storage device such as a hard disk or a memory, and has a function of storing processing information and programs 241 necessary for various processes in the arithmetic processing unit 250. The program 241 is a program that realizes various processing units by being read and executed by the arithmetic processing unit 250, and an external device (not shown) or the like via a data input / output function such as the communication I / F unit 210. It is read in advance from a storage medium (not shown) and stored in the storage unit 240. Main processing information stored in the storage unit 240 includes a plurality of content data 242, a flick direction / label correspondence table 243, a plurality of teacher data 244, and a flick speed / confidence correspondence table 245. Among these, the content data 242 and the correspondence table 243 are the same as the content data 142 and the correspondence table 143 in the first embodiment of the present invention shown in FIG.
The teacher data 244 is data used for machine learning. The teacher data 244 is generated from the content data 242 by a method to be described later and stored in the storage unit 240. FIG. 8 is a configuration example of the teacher data 244. Each teacher data 244 is composed of a set of ID 2441, content 2442, label 2443, and certainty 2444. The content ID 2441 and the content 2442 are the same as the content ID and the content constituting the content data 242. A label 2443 indicates a category to which the content 2442 belongs.
The certainty factor 2444 is the certainty factor of the label 2443. In this embodiment, the certainty factor 2444 takes a value from 0 to 1, and the accuracy of the label 2443 is higher as the value is closer to 1, and the accuracy of the label 2443 is lower as the value is closer to 0. For example, if the label 2443 is “OK” indicating no abnormality and the certainty factor is 1, it indicates that the user has determined that the content 2442 belongs to the category having no abnormality with a probability of 100%. Further, if the label 2443 is “NG” indicating the presence of abnormality and the certainty factor is 1, it indicates that the content 2442 belongs to the category having abnormality with a probability of 100%. If the label 2443 is “OK” indicating no abnormality or “NG” indicating the presence of abnormality and the certainty factor is 0, it indicates that the category of the content 2443 is unknown.
The correspondence table 245 associates the flicking speed with the label certainty factor. FIG. 9 is a configuration example of the correspondence table 245. In the correspondence table 245, when the flicking speed S is less than 50 pixels / second, the confidence factor is 0, and when the flicking speed is less than 50 pixels / second and less than 100 pixels / second, the confidence factor is (S-50) / 50. Correspondingly, when it is 100 pixels / second or more, it represents that the certainty factor 1 is supported.
The arithmetic processing unit 250 includes a processor such as an MPU and its peripheral circuits, and reads and executes the program 241 from the storage unit 240, thereby realizing various processing units by cooperating the hardware and the program 241. It has a function. The main processing units realized by the arithmetic processing unit 250 include a flick detection unit 251, a label determination unit 252, and a teacher data generation unit 253.
The flick detection unit 251 has a function of detecting the flick direction and speed from the detection information of the touch panel unit 230. For example, the flick detection unit 251 acquires and stores coordinates on the touched panel (hereinafter referred to as touch coordinates) and time information from the touch panel unit 230, and stores the flick detection unit according to the first embodiment of the present invention. In the same manner as in 151, it is detected whether or not a flick is detected, and if it is a flick, the direction of the flick may be detected. In addition, the flick detection unit 251 divides the distance (number of pixels) between the touch coordinates at the start of touch and the touch coordinates at the end of touch by the time from the touch start time to the touch end time, for example, May be calculated.
The label determination unit 252 has a function of determining a label representing the category to which the content displayed on the screen display unit 220 belongs and its certainty factor based on the direction and speed of the flick detected by the flick detection unit 251. Specifically, the label determination unit 252 reads the correspondence table 243 from the storage unit 240, and the content belongs to the label recorded in the correspondence table 243 corresponding to the flick direction detected by the flick detection unit 251. Determine the label that represents the category. Further, the label determining unit 252 reads the correspondence table 245 from the storage unit 240, and converts the certainty factor recorded in the correspondence table 245 corresponding to the flick speed detected by the flick detecting unit 251 to the certainty factor of the label. decide.
For each content data 242, the teacher data generation unit 253 reads the content data 242 from the storage unit 240 and displays it on the screen display unit 220. The displayed content data 242 and the label determined by the label determination unit 252 and its certainty factor Is generated and stored in the storage unit 240.
Next, the operation of the data processing apparatus 200 according to the present embodiment will be described with reference to the flowchart of FIG.
When activated, the teacher data generation unit 253 in the arithmetic processing unit 250 of the data processing device 200 reads one content data 242 from the storage unit 240 and displays it on the screen display unit 220 (step S201). The user confirms the content displayed on the screen display unit 220, determines the category of the content, and flicks in a desired direction. At this time, the user expresses the credibility of his judgment by the speed of flick. Specifically, the higher the credibility, the faster the flick speed, and the lower the credibility, the lower the credibility, the lower the flick speed.
The flick detection unit 251 of the arithmetic processing unit 250 starts flick detection based on detection information from the touch panel unit 230 after the teacher data generation unit 253 displays the content data 242 on the screen display unit 220 (FIG. 10). Step S202). When the flick detection unit 251 detects a flick, the flick detection unit 251 transmits the flick direction and speed to the label determination unit 252. The label determining unit 252 determines a label based on the transmitted flick direction and the correspondence table 243 (step S203). The label determining unit 252 determines the certainty factor based on the transmitted flick speed and the correspondence table 245 (step S204). Then, the label determination unit 252 transmits the label and the certainty factor to the teacher data generation unit 253.
When the teacher data generation unit 253 inputs the label and the certainty factor from the label determination unit 252, the teacher data generation unit 253 includes the ID 2441 displayed on the screen display unit 220, the content 2442, the input label 2443, and the certainty factor 2444. Teacher data 244 is generated and stored in the storage unit 240 (step S205). Next, the teacher data generation unit 253 confirms whether or not content that has not yet been displayed to the user exists in the storage unit 240 (step S206). If undisplayed content remains, the process returns to step S201 to repeat the same process as described above. On the other hand, if no undisplayed content remains, the teacher data generation unit 253 ends the teacher data generation process.
Further, according to the present embodiment, the user can input the label and the certainty factor of the label by one operation of flicking. Therefore, compared to the case where the label and the certainty factor are input by separate operations, the burden on the user can be reduced and quick input can be performed.
Referring to FIG. 11, a data processing apparatus 300 according to the third embodiment of the present invention has a function of supporting a user's task of creating teacher data with certainty used for machine learning.
The data processing device 300 includes a communication I / F unit 310, a screen display unit 320, a touch panel unit 330, a storage unit 340, and an arithmetic processing unit 350 as main functional units. Among these, the communication I / F unit 310, the screen display unit 320, and the touch panel unit 330 are the communication I / F unit 110, the screen display unit 120, and the touch panel unit 130 in the first embodiment of the present invention illustrated in FIG. Has the same function.
The storage unit 340 includes a storage device such as a hard disk or a memory, and has a function of storing processing information and programs 341 necessary for various processes in the arithmetic processing unit 350. The program 341 is a program that implements various processing units by being read into the arithmetic processing unit 350 and executed, and an external device (not shown) or the like via a data input / output function such as the communication I / F unit 310. The data is read in advance from a storage medium (not shown) and stored in the storage unit 340. Main processing information stored in the storage unit 340 includes a plurality of content data 342, a plurality of teacher data 344, and a correspondence table 346 of flick directions, labels, and certainty factors. Among these, the content data 342 and the teacher data 344 are the same as the content data 242 and the teacher data 244 in the second embodiment of the present invention shown in FIG. That is, the teacher data 244 includes a set of ID (2441), content (2442), label (2443), and certainty (2444).
The correspondence table 346 is a table for associating the flick direction with the label and its certainty. FIG. 12 is a configuration example of the correspondence table 346. In the correspondence table 346, when the flick direction θ is 0 ° or more and less than 90 ° and 270 ° or more and less than 360 °, it corresponds to a label of “OK”, and when it is 90 ° or more and less than 270 °, “NG”. This corresponds to the type of label. The correspondence table 346 shows that when the flick direction θ is 0 ° or more and less than 90 °, the certainty factor is (90−θ) / 90, and when the flick direction θ is 90 ° or more and less than 270 °, the certainty factor is 1− | θ−. 180 | / 90, and when the flick direction θ is not less than 270 ° and less than 360 °, the certainty factor is (θ−270) / 90. Therefore, for example, when the flick direction is 0 °, “OK” with a certainty factor 1, “NG” with a certainty factor 1 when the flick direction is 180 °, and with a certainty factor “0.5” when the flick direction is 315 °. “OK”.
The arithmetic processing unit 350 includes a processor such as an MPU and its peripheral circuits, and reads and executes the program 341 from the storage unit 340, thereby realizing various processing units by cooperating the hardware and the program 341. It has a function. As main processing units realized by the arithmetic processing unit 350, there are a flick detection unit 351, a label determination unit 352, and a teacher data generation unit 353.
The flick detection unit 351 has a function of detecting the flick direction from the detection information of the touch panel unit 330, similarly to the flick detection unit 251 in the first embodiment of the present invention illustrated in FIG.
The label determination unit 352 has a function of determining a label representing the category to which the content displayed on the screen display unit 320 belongs and its certainty factor according to the direction of the flick detected by the flick detection unit 351. Specifically, the label determining unit 352 reads the correspondence table 346 from the storage unit 340, and the labels and certainty levels recorded in the correspondence table 346 corresponding to the direction of the flick detected by the flick detection unit 351, The label representing the category to which the content belongs and its certainty level are determined.
For each content data 342, the teacher data generation unit 353 reads the content data 342 from the storage unit 340 and displays it on the screen display unit 320. The displayed content data 342 and the label determined by the label determination unit 352 and its certainty factor Is generated and stored in the storage unit 340.
Next, the operation of the data processing apparatus 300 according to the present embodiment will be described with reference to the flowchart of FIG.
When the teacher data generation unit 353 in the arithmetic processing unit 350 of the data processing device 300 is activated, it reads one content data 342 from the storage unit 340 and displays it on the screen display unit 320 (step S301). The user confirms the content displayed on the screen display unit 320, determines the category of the content, and flicks in a desired direction. At this time, the user expresses the credibility of his judgment by adjusting the flick direction. Specifically, for example, when there are two types of labels “OK” and “NG” and the correspondence table 346 is as shown in FIG. 12, when the label “OK” is input, the more credibility is flicked. The direction of is closer to the 0 ° direction, and the difference from the 0 ° direction is increased as the judgment is less confident and the credibility is lower. However, if a difference of 90 ° or more is given, the label “NG” is input instead of the label “OK”, so the difference is given within a range of 90 ° or less.
The flick detection unit 351 of the arithmetic processing unit 350 starts flick detection based on detection information from the touch panel unit 330 after the teacher data generation unit 353 displays the content data 342 on the screen display unit 320 (FIG. 13). Step S302). When detecting the flick, the flick detection unit 351 transmits the flick direction to the label determination unit 352. The label determining unit 352 determines a label and its certainty based on the transmitted flick direction and the correspondence table 346 (step S303). Then, the label determination unit 352 transmits the label and the certainty factor to the teacher data generation unit 353.
When the teacher data generation unit 353 inputs the label and the certainty factor from the label determination unit 352, the ID (2441), the content (2442) displayed on the screen display unit 320, and the input label (2443) Teacher data 344 composed of the certainty factor (2444) is generated and stored in the storage unit 340 (step S304). Next, the teacher data generation unit 353 confirms whether or not content that has not yet been displayed to the user exists in the storage unit 340 (step S305). If undisplayed content remains, the process returns to step S301 to repeat the same process as described above. On the other hand, if no undisplayed content remains, the teacher data generation unit 353 ends the teacher data generation process.
Referring to FIG. 14, a data processing apparatus 400 according to the fourth embodiment of the present invention automatically uses a function for supporting a user's operation to create teacher data used for machine learning and the created teacher data. And a function of performing classification.
The data processing device 400 includes a communication I / F unit 410, a screen display unit 420, a touch panel unit 430, a storage unit 440, and an arithmetic processing unit 450 as main functional units. Among these, the communication I / F unit 410, the screen display unit 420, and the touch panel unit 430 are the communication I / F unit 110, the screen display unit 120, and the touch panel unit 130 in the first embodiment of the present invention illustrated in FIG. Has the same function.
The storage unit 440 includes a storage device such as a hard disk or a memory, and has a function of storing processing information and programs 441 necessary for various processes in the arithmetic processing unit 450. The program 441 is a program that realizes various processing units by being read and executed by the arithmetic processing unit 450, and an external device (not shown) or the like via a data input / output function such as the communication I / F unit 410. It is read in advance from a storage medium (not shown) and stored in the storage unit 440. Main processing information stored in the storage unit 440 includes a plurality of teacher data 444, a classification model 446, a plurality of classification target content data 447, a plurality of classification results 448, and teacher data generation related data 449. Among these, the teacher data generation related data 449 is the same as the content data 142 and the correspondence table 143 in the first embodiment of the present invention shown in FIG. The teacher data 444 is the same as the teacher data 144 in the first embodiment of the present invention shown in FIG. That is, the teacher data 444 includes a set of ID (1441), content (1442), and label (1443).
The classification model 446 is a classification model generated using a plurality of teacher data 444. A classification model is a mathematical model of which category a content belongs to. The classification model can be realized using, for example, an SVM (Support Vector Machine) or a neural network.
The classification target content data 447 is content data to be automatically classified. The classification target content data 447 is composed of a set of content and its ID. The content may be image data, audio data, text data, or any combination thereof. However, the content is the same type as the content used to generate the teacher data 444. The classification target content data 447 is read from an external device (not shown) or a storage medium (not shown) via a data input / output function such as the communication I / F unit 410 and stored in the storage unit 440.
The classification result 448 is information on the result of classifying the category to which the content of the classification target content data 447 belongs using the classification model 446. FIG. 15 is a configuration example of the classification result 448. Each classification result 448 includes a set of ID 4481, content 4482, and classification category 4483. The individual classification results 448 correspond to the individual classification target content data 447 on a one-to-one basis. The ID 4481 and the content 4482 in each classification result 448 are the same as the ID and the content in the corresponding classification target content data 447. The classification category 4483 in the individual classification result 448 is a result of determining the category to which the content in the corresponding classification target content data 447 belongs using the classification model 446. Note that the content 4482 in the classification result 448 may be omitted because the same content as the content 4482 can be searched from the classification target content data 447 using the ID 4481 in the classification result 448 as a key.
The arithmetic processing unit 450 has a processor such as an MPU and its peripheral circuits, and reads and executes the program 441 from the storage unit 440, thereby realizing various processing units by cooperating the hardware and the program 441. It has a function. As main processing units realized by the arithmetic processing unit 450, there are a teacher data generation related unit 454, a machine learning unit 455, and a classification unit 456. Among these, the teacher data generation related unit 454 has the functions of the flick detection unit 151, the label determination unit 152, and the teacher data generation unit 153 in the first embodiment of the present invention shown in FIG.
The machine learning unit 455 reads a plurality of teacher data 444 from the storage unit 440, generates (learns) a classification model 446 using contents and labels in the plurality of teacher data 444, and generates the generated classification model 446. A function of saving in the storage unit 440 is provided.
The classification unit 456 reads the plurality of classification target content data 447 and the classification model 446 from the storage unit 440, determines the category to which the content in the plurality of classification target content data 447 belongs, using the classification model 446, and determines The storage unit 440 has a function of storing the classification result 448 including the selected category. Further, the classification unit 456 may read the classification result 448 from the storage unit 440, display it on the screen display unit 420, and transmit it to the external device through the communication I / F unit 410.
Next, the operation of the data processing apparatus 400 according to the present embodiment will be described. The operation of the data processing apparatus 400 according to the present embodiment is roughly divided into a teacher data generation operation, a machine learning operation, and an automatic classification operation. The teacher data generation operation is the same as that of the first embodiment of the present invention shown in FIG. Hereinafter, the machine learning operation and the automatic classification operation will be described in detail.
First, the machine learning operation of the data processing apparatus 400 according to the present embodiment will be described with reference to the flowchart of FIG. 16 showing a processing example of the machine learning unit 455.
When activated, the machine learning unit 455 in the arithmetic processing unit 450 of the data processing device 400 first reads a plurality of teacher data 444 from the storage unit 440 (step S401). Next, the machine learning unit 455 executes machine learning for generating the classification model 446 using the content and the label in each read teacher data 444 (step S402). Finally, the machine learning unit 455 stores the classification model 446 generated by machine learning in the storage unit 440 (step S403).
Next, the classification operation of the data processing apparatus 400 according to the present embodiment will be described with reference to the flowchart of FIG.
When activated, the classification unit 456 in the arithmetic processing unit 450 of the data processing device 400 first reads the classification model 446 from the storage unit 440 (step S411). Next, the classification unit 456 reads one classification target content data 447 that is not yet the target of the classification process from the storage unit 440 (step S412), and uses the classification model 446 for the category to which the content in the classification target content data 447 belongs. The classification result 448 including the determined category is stored in the storage unit 440 (step S414).
Next, the classification unit 456 confirms whether or not the classification target content data 447 that is not yet the target of the classification process exists in the storage unit 440 (step S415), and if unprocessed classification target content data 447 remains. Returning to the process of step S412, the same process as described above is repeated. On the other hand, if unprocessed classification target content data 447 does not remain, the classification unit 456 reads the classification result 448 from the storage unit 440, displays it on the screen display unit 420, and transmits it from the communication I / F unit 410 to the outside. (Step S416). Then, the classification process ends.
As described above, according to this embodiment, the same effects as those of the first embodiment of the present invention can be obtained, and the classification target content data can be automatically classified using the created teacher data.
This embodiment is an embodiment in which the teacher data creation function in the fourth embodiment is replaced with the teacher data creation function described in the second or third embodiment.
When the teacher data generation function similar to that of the second embodiment is provided, the teacher data generation related data 449 in FIG. 14 is the same data as the content data 242 and the correspondence tables 243 and 245 in FIG. 7 has the same functions as the flick detection unit 251, the label determination unit 252, and the teacher data generation unit 253 in FIG. 7, and the machine learning unit 455 replaces the teacher data having a high label certainty with the teacher data having a low label certainty. It has a function of learning a classification model as significant teacher data, that is, a weighted learning function.
When the teacher data creation function similar to that of the third embodiment is provided, the teacher data generation related data 449 in FIG. 14 is the same data as the content data 342 and the correspondence table 346 in FIG. 11 has the same functions as the flick detection unit 351, label determination unit 352, and teacher data generation unit 353, and the machine learning unit 455 has the weighted learning function.
According to this embodiment, the same effects as those of the second or third embodiment of the present invention can be obtained, and the classification target content data can be automatically classified using the created teacher data with certainty. Can do.
Referring to FIG. 18, the data processing apparatus 600 according to the sixth embodiment of the present invention uses an input form based on a swing operation to support a user's task of creating teacher data used for machine learning. have.
The data processing apparatus 600 includes a communication I / F unit 610, a screen display unit 620, an acceleration sensor unit 630, a storage unit 640, and an arithmetic processing unit 650 as main functional units. Among these, the communication I / F unit 610 and the screen display unit 620 have the same functions as the communication I / F unit 110 and the screen display unit 120 in the first embodiment of the present invention shown in FIG.
The acceleration sensor unit 630 has a function of detecting shake and outputting detection information to the arithmetic processing unit 650. The location where the acceleration sensor unit 630 is set is arbitrary. The acceleration sensor unit 630 may be provided in the main housing of the data processing apparatus 600 or may be provided in a separate housing separate from the main housing. In that case, it is desirable that both communicate wirelessly.
The storage unit 640 includes a storage device such as a hard disk or a memory, and has a function of storing processing information and programs 641 necessary for various processes in the arithmetic processing unit 650. The program 641 is a program that realizes various processing units by being read and executed by the arithmetic processing unit 650, and an external device (not shown) or the like via a data input / output function such as the communication I / F unit 610. The data is read in advance from a storage medium (not shown) and stored in the storage unit 640. The main processing information stored in the storage unit 640 includes a plurality of content data 642, a shake direction / label correspondence table 643, and a plurality of teacher data 644. Among these, the content data 642 and the teacher data 644 are the same as the content data 142 and the teacher data 144 in the first embodiment of the present invention shown in FIG. That is, the teacher data 644 has an ID, content, and label.
The correspondence table 643 is a table for associating the shake direction with the label. FIG. 19 is a configuration example of the correspondence table 643. In this correspondence table 643, when the deflection direction θ is 0 ° or more and less than 90 ° and 270 ° or more and less than 360 °, it corresponds to a label of “OK”, and when it is 90 ° or more and less than 270 °, it is “NG”. This corresponds to the type of label. Accordingly, when the container for storing the acceleration sensor unit 630 is in a predetermined posture and the right direction is set to 0 ° and the left direction is set to 180 °, the label “OK” can be input when the user shakes the right direction, When the direction is moved, the label “NG” can be input.
The arithmetic processing unit 650 includes a processor such as an MPU and its peripheral circuits, and reads and executes the program 641 from the storage unit 640, thereby realizing various processing units by cooperating the hardware and the program 641. It has a function. As main processing units realized by the arithmetic processing unit 650, there are a shake direction detecting unit 651, a label determining unit 652, and a teacher data generating unit 653.
The shake direction detection unit 651 has a function of detecting the direction of shake from the detection information of the acceleration sensor unit 630.
The label determination unit 652 has a function of determining a label representing a category to which the content displayed on the screen display unit 620 belongs, based on the shake direction detected by the shake direction detection unit 651. Specifically, the label determination unit 652 reads the correspondence table 643 from the storage unit 640, and the content belongs to the label recorded in the correspondence table 643 corresponding to the shake direction detected by the shake direction detection unit 651. Determine the label that represents the category.
For each content data 642, the teacher data generation unit 653 reads the content data 642 from the storage unit 640, displays the content data 642 on the screen display unit 620, and includes the displayed content data 642 and the label determined by the label determination unit 652. Data 644 is generated and stored in the storage unit 640.
Next, the operation of the data processing apparatus 600 according to the present embodiment will be described with reference to the flowchart of FIG.
When the teacher data generation unit 653 in the arithmetic processing unit 650 of the data processing device 600 is activated, the content data 642 is read from the storage unit 640 and displayed on the screen display unit 620 (step S601). The user confirms the content displayed on the screen display unit 620, determines the category of the content, and performs an operation of shaking the container housing the acceleration sensor unit 630 in a desired direction.
The shake direction detection unit 651 of the arithmetic processing unit 650 starts touch detection based on detection information from the acceleration sensor unit 630 after the teacher data generation unit 653 displays the content data 642 on the screen display unit 620 (FIG. 20 step S602). When the shake direction detecting unit 651 detects the shake, the shake direction detecting unit 651 transmits the shake direction to the label determining unit 652. The label determining unit 652 determines a label based on the transmitted shake direction and the correspondence table 643 (step S603). Then, the label determination unit 652 transmits the label to the teacher data generation unit 653.
When the teacher data generation unit 653 receives a label from the label determination unit 652, the teacher data generation unit 653 generates teacher data 644 including the ID displayed on the screen display unit 620, the content, and the input label, and the storage unit It is stored in 640 (step S605). Next, the teacher data generation unit 653 checks whether or not content that has not yet been displayed to the user exists in the storage unit 640 (step S606). If undisplayed content remains, the process returns to step S601, and the same process as described above is repeated. On the other hand, if no undisplayed content remains, the teacher data generation unit 653 ends the teacher data generation process.
As described above, according to the input form by shake, teacher data can be created without being restricted by a place. The reason is that the user can input the label indicating the category to which the content belongs by an operation of not shaking a sound like a keyboard or a mouse or shaking an object.
Referring to FIG. 21, a data processing apparatus 700 according to the seventh embodiment of the present invention uses a tilt operation input form to support a user's task of creating teacher data used for machine learning. have.
The data processing device 700 includes a communication I / F unit 710, a screen display unit 720, an inclination sensor unit 730, a storage unit 740, and an arithmetic processing unit 750 as main functional units. Among these, the communication I / F unit 710 and the screen display unit 720 have the same functions as the communication I / F unit 110 and the screen display unit 120 in the first embodiment of the present invention shown in FIG.
The tilt sensor unit 730 includes a gyro and the like, and has a function of detecting tilt and outputting detection information to the arithmetic processing unit 750. The location where the tilt sensor unit 730 is set is arbitrary. The inclination sensor unit 730 may be provided in the main housing of the data processing device 700, or may be provided in a separate housing that is separated from the main housing. In that case, it is desirable that both communicate wirelessly.
The storage unit 740 includes a storage device such as a hard disk or a memory, and has a function of storing processing information and programs 741 necessary for various types of processing in the arithmetic processing unit 750. The program 741 is a program that implements various processing units by being read and executed by the arithmetic processing unit 750, and an external device (not shown) or the like via a data input / output function such as the communication I / F unit 710 or the like. The data is read in advance from a storage medium (not shown) and stored in the storage unit 740. The main processing information stored in the storage unit 740 includes a plurality of content data 742, a correspondence table 743 of tilt directions and labels, and a plurality of teacher data 744. Among these, the content data 742 and the teacher data 744 are the same as the content data 142 and the teacher data 144 in the first embodiment of the present invention shown in FIG. That is, the teacher data 744 has an ID, content, and label.
The correspondence table 743 is a table associating the inclination direction with the label. FIG. 22 is a configuration example of the correspondence table 743. In the correspondence table 743, when the inclination direction is “Right”, it corresponds to a label of the type “OK”, and when it is Left, it corresponds to a label of the type “NG”. Accordingly, when the container for storing the tilt sensor unit 730 is set in a predetermined posture and the right side is set to be lower so that the right side is lower than the left side, and vice versa, the right side is set lower. When tilted, the label “OK” can be input, and when tilted so that the left side is lowered, the label “NG” can be input.
The arithmetic processing unit 750 includes a processor such as an MPU and its peripheral circuits, and reads and executes the program 741 from the storage unit 740, thereby realizing various processing units by causing the hardware and the program 741 to cooperate. It has a function. As main processing units realized by the arithmetic processing unit 750, there are an inclination direction detecting unit 751, a label determining unit 752, and a teacher data generating unit 753.
The tilt direction detection unit 751 has a function of detecting the tilt direction from the detection information of the tilt sensor unit 730.
The label determination unit 752 has a function of determining a label representing a category to which the content displayed on the screen display unit 720 belongs, based on the tilt direction detected by the tilt direction detection unit 751. Specifically, the label determination unit 752 reads the correspondence table 743 from the storage unit 740, and the content belongs to the label recorded in the correspondence table 743 corresponding to the tilt direction detected by the tilt direction detection unit 751. Determine the label that represents the category.
For each content data 742, the teacher data generation unit 753 reads the content data 742 from the storage unit 740 and displays it on the screen display unit 720. The teacher data generation unit 753 has the displayed content data 742 and the label determined by the label determination unit 752. Data 744 is generated and stored in the storage unit 740.
Next, the operation of the data processing apparatus 700 according to the present embodiment will be described with reference to the flowchart of FIG.
When activated, the teacher data generation unit 753 in the arithmetic processing unit 750 of the data processing device 700 reads one content data 742 from the storage unit 740 and displays it on the screen display unit 720 (step S701). The user confirms the content displayed on the screen display unit 720, determines the category of the content, and performs an operation of tilting the container housing the tilt sensor unit 730 in a desired direction.
The tilt direction detection unit 751 of the arithmetic processing unit 750 starts tilt detection based on the detection information from the tilt sensor unit 730 after the teacher data generation unit 753 displays the content data 742 on the screen display unit 720 (FIG. 23 step S702). When the tilt direction detection unit 751 detects the tilt, the tilt direction detection unit 751 transmits the tilt direction to the label determination unit 752. The label determining unit 752 determines a label based on the transmitted tilt direction and the correspondence table 743 (step S703). Then, the label determination unit 752 transmits the label to the teacher data generation unit 753.
When a label is input from the label determination unit 752, the teacher data generation unit 753 generates teacher data 744 including the ID displayed on the screen display unit 720, the content, and the input label, and the storage unit It is stored in 740 (step S704). Next, the teacher data generation unit 753 confirms whether content that has not yet been displayed to the user exists in the storage unit 740 (step S705). If undisplayed content remains, the process returns to step S701 and the same process as described above is repeated. On the other hand, if no undisplayed content remains, the teacher data generation unit 753 ends the teacher data generation process.
Thus, according to the input form by the tilt operation, the teacher data can be created without being restricted by the place. The reason is that the user can input a label indicating the category to which the content belongs by an operation of tilting an object without generating a sound like a keyboard or a mouse.
Referring to FIG. 24, a data processing apparatus 800 according to the eighth embodiment of the present invention uses a gesture operation input form to support a user's task of creating teacher data used for machine learning. have.
The data processing device 800 includes a communication I / F unit 810, a screen display unit 820, a touch panel unit 830, a storage unit 840, and an arithmetic processing unit 850 as main functional units. Among these, the communication I / F unit 810, the screen display unit 820, and the touch panel unit 830 are the communication I / F unit 110, the screen display unit 120, and the touch panel unit 830 in the first embodiment of the present invention illustrated in FIG. Has the same function.
The storage unit 840 includes a storage device such as a hard disk or a memory, and has a function of storing processing information and a program 841 necessary for various processes in the arithmetic processing unit 850. The program 841 is a program that implements various processing units by being read and executed by the arithmetic processing unit 850, and an external device (not shown) or the like via a data input / output function such as the communication I / F unit 810. The data is read in advance from a storage medium (not shown) and stored in the storage unit 840. Main processing information stored in the storage unit 840 includes a plurality of content data 842, a gesture / label correspondence table 843, and a plurality of teacher data 844. Among these, the content data 842 and the teacher data 844 are the same as the content data 142 and the teacher data 144 in the first embodiment of the present invention shown in FIG. That is, the teacher data 844 includes an ID, content, and a label.
The correspondence table 843 is a table that associates gesture types with labels. FIG. 25 is a configuration example of the correspondence table 843. In the correspondence table 843, a gesture that draws the letter V of the alphabet corresponds to a label of the type “OK”, and a gesture that draws a hyphen symbol corresponds to a label of the type “NG”.
The arithmetic processing unit 850 has a processor such as an MPU and its peripheral circuits, and reads and executes the program 841 from the storage unit 840, thereby realizing various processing units by cooperating the hardware and the program 841. It has a function. As main processing units realized by the arithmetic processing unit 850, there are a gesture detection unit 851, a label determination unit 852, and a teacher data generation unit 853.
The gesture detection unit 851 has a function of detecting the flick direction from the detection information of the touch panel unit 830. For example, the gesture detection unit 851 acquires and stores coordinates (touch coordinates) on the touched panel and time information from the touch panel unit 830, and based on the trajectory of the touch coordinates from the start to the end of the touch, You may detect the type.
The label determination unit 852 has a function of determining a label representing a category to which the content displayed on the screen display unit 820 belongs, depending on the type of gesture detected by the gesture detection unit 851. Specifically, the label determination unit 852 reads the correspondence table 843 from the storage unit 840, and the content belongs to the label recorded in the correspondence table 843 corresponding to the gesture type detected by the gesture detection unit 851. Determine the label that represents the category.
For each content data 842, the teacher data generation unit 853 reads the content data 842 from the storage unit 840, displays the content data 842 on the screen display unit 820, and includes the displayed content data 842 and the label determined by the label determination unit 852. Data 844 is generated and stored in the storage unit 840.
Next, the operation of the data processing apparatus 800 according to the present embodiment will be described with reference to the flowchart of FIG.
When activated, the teacher data generation unit 853 in the arithmetic processing unit 850 of the data processing device 800 reads one content data 842 from the storage unit 840 and displays it on the screen display unit 820 (step S801). The user confirms the content displayed on the screen display unit 820, determines the category of the content, and performs an operation of inputting a desired type of gesture from the touch panel unit 830.
The gesture detection unit 851 of the arithmetic processing unit 850 starts detecting a gesture based on detection information from the touch panel unit 830 after the teacher data generation unit 853 displays the content data 842 on the screen display unit 820 (FIG. 26). Step S802). When the gesture detection unit 851 detects a gesture, the gesture detection unit 851 determines the type and transmits it to the label determination unit 852. The label determination unit 852 determines a label based on the transmitted gesture type and the correspondence table 843 (step S803). Then, the label determination unit 852 transmits the label to the teacher data generation unit 853.
When a label is input from the label determination unit 852, the teacher data generation unit 853 generates teacher data 844 including the ID displayed on the screen display unit 820, the content, and the input label, and the storage unit It is stored in 840 (step S804). Next, the teacher data generation unit 753 confirms whether content that has not yet been displayed to the user exists in the storage unit 840 (step S805). If undisplayed content remains, the process returns to step S801 and the same process as described above is repeated. On the other hand, if no undisplayed content remains, the teacher data generation unit 853 ends the teacher data generation process.
As described above, according to the input form by the gesture operation, the teacher data can be created without being restricted by the place. This is because the user can input a label indicating the category to which the content belongs by an operation called a gesture that does not emit a sound like a keyboard or a mouse.
Although the present invention has been described with reference to some embodiments, the present invention is not limited to the above embodiments, and various other additions and modifications can be made. For example, in the above description, a process of displaying content data such as a frame image that is a generation source of teacher data on the screen display unit, a process of receiving a label input from the user by flicking, and a process of performing machine learning The same arithmetic processing unit as that for performing automatic classification using the classification model was performed. However, these processes may be shared by a plurality of different arithmetic processing units.
The present invention can be used to create teacher data in fields such as video surveillance and video analysis.
A data processing apparatus comprising: a teacher data generation unit configured to display the content on the display unit and generate teacher data including the displayed content and the label determined by the label determination unit.
The flick detection unit detects a flick direction and speed from detection information of the touch panel unit,
The label determining unit determines the label representing the category to which the content belongs and the certainty of the label by the direction and speed of the flick,
The data processing apparatus according to appendix 1, wherein the teacher data generation unit generates the teacher data including the displayed content, the label determined by the label determination unit, and the certainty factor.
The data processing device according to attachment 2, wherein the label determination unit determines a higher certainty factor as the flick speed is higher.
The label determination unit determines the label representing the category to which the content belongs and the certainty of the label according to the direction of the flick,
A machine learning unit that generates a classification model using the teacher data;
The data processing apparatus according to any one of appendices 1 to 4, further comprising: a classification unit that determines a category to which the classification target content belongs using the classification model.
An acceleration sensor unit that outputs detection information for detecting shake;
A shake direction detection unit that detects a shake direction from the detection information of the acceleration sensor unit;
A label determining unit that determines a label representing a category to which the content belongs according to the direction of the shake;
An inclination sensor unit that outputs detection information for detecting inclination;
An inclination direction detection unit that detects an inclination direction from the detection information of the inclination sensor unit;
A label determining unit for determining a label representing a category to which the content belongs according to the direction of the inclination;
A gesture detection unit that detects a type of gesture from the detection information of the touch panel unit;
A label determining unit that determines a label representing a category to which the content belongs according to the type of gesture;
Display content on the display,
A label representing the category to which the content belongs is determined by the direction of the flick,
A data processing method for generating teacher data having the content and the label.
In the detection of the flick, the direction and speed of the flick are detected from the detection information of the touch panel unit,
In the determination of the label, the label representing the category to which the content belongs and the reliability of the label are determined by the direction and speed of the flick,
The data processing method according to appendix 9, wherein the teacher data is generated by generating the teacher data having the content, the label, and the certainty factor.
The data processing method according to supplementary note 10, wherein in the determination of the label, a higher certainty factor is determined as the speed of the flick is higher.
In the determination of the label, the label representing the category to which the content belongs and the certainty of the label are determined according to the direction of the flick,
Generating a classification model using the teacher data;
The data processing method according to any one of appendices 9 to 12, wherein a category to which content to be classified belongs is determined using the classification model.
A data processing method executed by a data processing apparatus having a display unit and an acceleration sensor unit that detects shake and outputs detection information,
Detecting the direction of shake from the detection information of the acceleration sensor unit;
A label representing a category to which the content belongs is determined according to the direction of the shake,
A data processing method executed by a data processing apparatus having a display unit and a tilt sensor unit that detects tilt and outputs detection information,
Detecting the direction of inclination from the detection information of the inclination sensor unit;
A label representing a category to which the content belongs is determined according to the direction of the inclination,
The type of gesture is detected from the detection information of the touch panel unit,
A label representing a category to which the content belongs is determined according to the type of the gesture;
A program for functioning as a teacher data generation unit that displays the content on the display unit and generates teacher data having the displayed content and the label determined by the label determination unit.
A computer having a display unit and an acceleration sensor unit that outputs detection information for detecting shake,
A computer having a display unit and a tilt sensor unit that outputs detection information for detecting tilt,
DESCRIPTION OF SYMBOLS 100 ... Data processing apparatus 110 ... Communication I / F part 120 ... Screen display part 130 ... Touch panel part 140 ... Memory | storage part 141 ... Program 142 ... Content data 143 ... Flick direction and label correspondence table 144 ... Teacher data 150 ... Arithmetic processing part 151 ... Flick detection unit 152 ... Label determination unit 153 ... Teacher data generation unit
It possesses the tutor data generating unit for generating a teacher data having said label is determined that the content displayed on the display unit by the label determination section,
The teacher data generation unit generates the teacher data including the displayed content, the label determined by the label determination unit, and the certainty factor .
The data processing apparatus according to claim 1 , wherein the label determination unit determines a higher certainty factor as the flick speed is higher.
A teacher data generation unit for generating teacher data having the content displayed on the display unit and the label determined by the label determination unit;
The tutor data generating unit that generates the teacher data having said label and said certainty factor which is determined the display the said content by the label determination unit
The data processing device according to any one of claims 1 to 3 and a classification unit for determining a category of classification target content belongs using the classification model.
Generating teacher data having the content and the label displayed on the display unit ;
In the generation of the teacher data, a data processing method for generating the teacher data having the content, the label, and the certainty factor .
The data processing method according to claim 5 , wherein in determining the label, a higher certainty factor is determined as the flick speed is higher.
Generating teacher data having the content and the label displayed on the display unit;
In the determination of the label, the label representing the category to which the content belongs and the certainty of the label are determined by the direction of the flick,
Wherein in the generation of training data, Lud over data processing method to generate the training data with said label and said certainty factor and the content.
The data processing method according to any one of claims 5 to 7 for determining the category classification target content belongs using the classification model.
Function as a teacher data generation unit that generates teacher data having the content displayed on the display unit and the label determined by the label determination unit ;
The tutor data generating unit, said display said content and said teacher data because the program to generate a having said label and said certainty factor which is determined by the label determination unit that.
Have a data generation unit for generating data having said label is determined that the content displayed on the display unit by the label determination section,
The data generation device generates the data having the displayed content, the label determined by the label determination unit, and the certainty factor .
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