JP5213747B2 - Video content storage and viewing system and method - Google Patents

Description

  The present invention relates to a video content storage / viewing system and method, and in particular, a user automatically stores a still image or a moving image captured by a digital camera, a video camera or the like with a content name, a chapter name, and the like stored therein. The present invention relates to a video content storage / viewing system and method capable of providing a user with a video having a name, a chapter name, and the like by VoD (video on demand). The present invention also relates to a video content storage / viewing system and method having a function that allows a user to correct the content name, chapter name, etc. and feed back as necessary.

  The following technique is disclosed in Patent Document 1 below. Personal video footage recorded by individuals is deposited with content storage / processing companies through agents, post offices, shipping companies, etc., and requests for storage / processing of video content. The stored video content can be freely selected and viewed through the broadband high-speed access line when the person who requested the storage or the person concerned wants to view it on a personal computer or television. At the time of the storage request, the user requests customer basic information such as an address, processing information related to content processing, and directory information in text on an application form. Then, the content storage / processing company digitally processes the personal video image and the like, and adds the information described in the application form to the digital processing data and stores it. In addition, an ID and a password required when the user accesses later are generated and registered in association with the digitally processed data. Thereafter, the content storage / processing company delivers the content medium deposited from the user and the generated ID and password to the requesting user through an agent, a post office, a transportation company, etc. Details about access methods will also be announced.

  According to this conventional method, personal video images of each individual are consigned and stored in a content storage / processing company, so that loss of video content can be avoided and the personal video images can be viewed while at home via broadband. In addition, since directory information is embedded in the content of the video content, a desired scene can be freely selected and viewed in an on-demand format.

JP 2004-266790 A

  However, in the above-described conventional technology, it is necessary to send a recording medium such as a personal video image taken by an individual to a content storage / processing company through an agent, a post office, a transportation company, etc. The problem that it is troublesome because the user has to fill out the application form with directory information written in text, content storage / processing companies manually enter the content based on the directory information entered in the application form There is a problem that it is necessary to do this and a problem that no consideration is given to the correction of the directory information.

  An object of the present invention is to solve the above-described problems, automatically add video classification information to contents such as personal video images shot by individuals, and / or chapters, and store the contents. Another object of the present invention is to provide a video content storage / viewing system and method that can provide a user with the content that is provided by VoD or the like. Another object of the present invention is to provide a video content storage / viewing system and method that allows a user to correct and feed back automatically added video classification information.

In order to achieve the above object, the present invention provides a video standard conversion unit that converts video content uploaded via a network into a predetermined video standard, and a category classified into video content converted by the video standard conversion unit. A classification category assigning unit that automatically assigns a metadata, a metadata creation unit that creates metadata including the classification category, a content storage unit that stores a video file of the video content in association with the metadata, and the content A video file transmission unit for transmitting the video file stored in the storage unit via a network; and a feedback processing unit for processing the correction feedback information received via the network , wherein the feedback processing unit includes correction feedback Depending on the content of the information, the classification category assigning unit That at least one update processing request among the fine metadata generator is characterized.

In addition, a video standard conversion unit that converts video content uploaded via a network into a predetermined video standard, and a plurality of videos in which the video content converted by the video standard conversion unit is related to one video section. A video dividing unit that divides into sections, a classification category providing unit that automatically assigns classification categories to the video sections divided by the dividing unit, a metadata creation unit that creates metadata including the classification categories, A content storage unit that stores a video file of video content in association with the metadata , a video file transmission unit that transmits the video file stored in the content storage unit via a network, and a correction received via the network A feedback processing unit for processing feedback information, the feedback processing , Depending on the content of the modified feedback information, the video division unit, there are other features in that at least one update processing request of the classification category imparting part and metadata generator.

  The classification category adding unit includes a video feature amount extracting unit that extracts a feature amount of the video section, a feature amount database that stores a relationship between a video feature amount and a classification category, the feature amount, and the feature amount. Another feature is that it includes a feature quantity comparison processing unit that compares a classification category of similar feature quantities in the feature quantity database with a classification category of the video section in comparison with the database.

  In addition, the video dividing unit, the classification category adding unit, and the metadata creating unit have another feature in that, upon receiving the update processing request, the video section, the classification category, or the metadata is corrected according to the correction feedback information. .

  According to the present invention, it is possible to automatically assign titles and video segment classification categories to moving images or still images captured by a user's video camera or digital camera, and provide them to the user. is there. Further, since the user can correct the automatically assigned title and the classification category of the video section, the user can attach a satisfactory title and classification category to his / her video content.

  In addition, since the correction information is reflected in the update process of the video dividing unit, the classification category adding unit, or the metadata creating unit, there is an effect that the processing accuracy is improved, that is, a learning effect.

  In addition, the user can automatically assign titles and video segment classification categories and transmit them to the content storage unit simply by transmitting the video content captured by the user to the VoD platform via the network. Such users have to fill out an application form with directory information written in text, or send recording media such as personal video images to content storage and processing companies through agents, post offices, shipping companies, etc. There is no effect at all.

1 is a block diagram illustrating an example of a network environment in which the present invention is implemented. It is a block diagram which shows the structure of the principal part of this invention. It is a block diagram which shows the structure of one Embodiment of this invention. It is a flowchart explaining the process from the chapter division part of FIG. 3 to a metadata preparation part. It is explanatory drawing of the title provision of a video content. It is explanatory drawing of EPG creation. 4 is a flowchart for explaining processing of a BML / HTML creation unit and a video file (TS) creation unit in FIG. 3. It is a conceptual diagram of the example of a display at the time of displaying the data produced by the BML * HTML production part. It is a conceptual diagram of the data preserve | saved in the VoD content preservation | save part of FIG. It is a flowchart which shows the outline | summary of the feedback (correction) function made by a VoD viewing-and-listening apparatus. It is a flowchart which shows the process of the feedback process part of FIG. It is a conceptual diagram of the registration screen of the face information to an individual database.

  Hereinafter, the present invention will be described in detail with reference to the drawings. FIG. 1 is an explanatory diagram of an example of a network environment in which the present invention is implemented.

  The imaging device 1 is composed of a video camera, a digital camera, etc., and video data such as individual users captured by the imaging device 1 is transmitted via the terminal device 2 such as a PC or directly via WiFi, WiMax, etc. Sent to. Video data or video content (hereinafter referred to as video content) sent to the Internet 3 is input from the video input unit to the VoD platform 4 serving as a server. Although the configuration of the VoD platform 4 will be described in detail later, the function of dividing the video content received from the video input unit into chapters, the function of creating video classification information (metadata) in units of video content or / and in units of chapters , EPG (electronic program guide) creation function, video file creation function, function to store the video file, function to generate ID and password and relate to the video content, function to support access to VoD viewing request, feedback information It has a function corresponding to.

  When the VoD platform 4 is accessed from the VoD viewing device 6 via the Internet network 3 or the VoD infrastructure network 5, the requested video content is verified from the video output unit via the VoD infrastructure network 5 after collating the ID and password. To the VoD viewing device 6. The VoD viewing device 6 comprises a TV, STB, etc., and the user selectively displays the desired video content and chapter using the video classification information of the video content displayed on the video screen of the VoD viewing device 6. By doing so, you can enjoy it efficiently and at home. If the video classification information automatically added by the VoD platform 4 is not satisfied, the user can feed back the favorite video classification information to the VoD platform 4 to correct the video classification information. In addition, the VoD platform 4 can learn so as to improve the accuracy of the chapter dividing function and the function of creating the video classification information by the feedback information.

  First, the main part of the configuration of the VoD platform 4 will be described with reference to FIG. The VoD platform 4 includes a still image / moving image determination unit 10 for determining whether the video content uploaded via the network is a still image or a moving image, and a video for converting the video content into a predetermined video standard. A standard conversion unit 11, a video dividing unit 12 that divides the video content converted by the video standard conversion unit 11 into a plurality of video sections with related contents as one video section, and a video divided by the dividing unit 12 Classification category assigning unit 13 that automatically assigns a category to a section, metadata creation unit 14 that creates metadata including the classification category, and content that stores a video file of the video content in association with the metadata A storage unit 15, a transmission unit 16 that transmits the video file of the video content to the user, and the received correction file Composed of feedback processing unit 17 for processing to feedback information. When the still image / moving image determination unit 10 determines that the image is a moving image, the video standard conversion unit 11 is connected to the video dividing unit 12, while when it is determined to be a still image, the video dividing unit 12 is skipped. Are connected to the classification category portion assigning portion 13. The feedback processing unit 17 makes an update processing request to the video dividing unit 12, the category category adding unit 13, and / or the metadata creating unit 14 according to the content of the correction feedback information.

  Next, details of the configuration of the VoD platform 4 will be described with reference to FIG. As shown in the figure, the VoD platform 4 is a video input unit 21 to which video content sent via the Internet 3 is input. For example, a DV format video or a still image JEPG video is converted into MPEG2 or uncompressed video. A video standard conversion unit 22 for conversion and a chapter division unit 23 for dividing the converted video into chapters such as scenes and shots. The video input unit 21 receives the video content and determines whether the image is a still image or a moving image, and connects the video standard conversion unit 22 to the chapter division unit 23 based on the determination signal or the chapter division unit 23. And control whether to connect to the video feature amount extraction unit 24. Since it is not necessary to divide chapters in the case of a still image, the chapter division unit 23 is skipped. When a still image is input to the video standard conversion unit 22, a plurality of still images may be converted into MPEG2 or uncompressed video as a slideshow-like moving image.

  The VoD platform 4 also includes a video feature quantity extraction unit 24 that extracts feature quantities from the divided chapters, and a feature quantity database (stored in correspondence with video feature quantities and video classification information (hereinafter referred to as classification categories)). DB) 25, and a feature amount comparison processing unit 26 for comparing the video feature amount extracted by the video feature amount extraction unit 24 with the data of the feature amount data DB 25. The classification category assigning unit 13 corresponds to the video feature quantity extracting unit 24, the feature quantity DB 25, and the feature quantity comparison processing unit 26. The feature amount data DB 25 constituting the classification category assigning unit 13 is a knowledge base using a neural network or the like, and may be one that can provide classification categories and can be learned by external feedback. Here, the feature DB 25 has at least an individual database and a general database. In the individual database, data for personal recognition of the user, for example, data for face recognition of the user's family and a name are linked and stored. In the general database, general video feature amounts such as baby, hi-high, Data for general event recognition such as walking, water play, birthday, nursery school, athletic meet, amusement park and the like is stored.

  The VoD platform 4 also includes a metadata creation unit 27 that creates metadata of the chapter based on a classification category that matches the video feature amount acquired by the comparison processing in the feature amount comparison processing unit 26, and the chapter metadata. EPG (Electric Program Guide) creation unit 28 for creating video program titles from the title and chapter metadata, and the metadata in BML (Broadcast Markup Language) or HTML A BML / HTML creating unit 29 for representing, a video file (TS; transport stream) creating unit 30 for creating a video file with video content from the chapter dividing unit 23, an electronic program guide, and metadata described in BML / HTML, The VoD content storage unit 31 for storing video files and the video output of FIG. Having a VoD sending unit 32 corresponding to the section.

  The VoD platform 4 further includes a VoD receiving unit 41 corresponding to the feedback information input unit of FIG. 1. The VoD receiving unit 41 identifies a VoD viewing request and feedback information from a user, and a VoD viewing request. If so, a VoD viewing request is sent to the VoD content storage unit 31, while if it is feedback information, the feedback information is sent to the feedback processing unit 42.

  When receiving the VoD viewing request, the VoD content storage unit 31 checks the ID and password, reads the video file requested by the user, and sends it to the VoD viewing device 6 via the VoD sending unit 32 and the VoD infrastructure network 5. Forward. On the other hand, the feedback processing unit 42 analyzes the content of the feedback information. If the feedback information is chapter division correction information, the feedback processing unit 42 makes an update processing request to the chapter division unit 23. If the feedback information is metadata correction information, the feature amount DB 25 And makes an update processing request to the metadata creation unit 27. Regarding the correction of the feature DB 25, the individual database and the general database are corrected (learning function), and the metadata created by the metadata creating unit 27 is modified.

  Basically, the chapter division unit 23 divides a frame into chapter division screens (or cut screens or scene change screens) when a video change amount between frames of video content is equal to or greater than a predetermined threshold in time. ), And outputs the video between the chapter division screens to the video feature amount extraction unit 24. The chapter division unit 23 is, for example, an electronic information communication society autumn meeting, D-264 (1993) “image cut point detection using a filter”, an electronic information communication society autumn meeting, D-501 (1994). Using known techniques described in “Cut Detection from Compressed Video Data Based on Inter-Frame Luminance Difference and Color Difference Correlation”, Japanese Patent Application Laid-Open No. 07-059108, Japanese Patent Application Laid-Open No. 09-083864, etc. It can be carried out. The chapter division unit 23 can perform update processing by correcting the threshold.

  Next, operations of the video feature quantity extraction unit 24, the feature quantity comparison processing unit 26, and the metadata creation unit 27 will be described with reference to the flowchart of FIG. Hereinafter, the video between the chapter division screens is referred to as “chapter video”.

  In step S1, the video feature quantity extraction unit 24 extracts a feature quantity from the chapter video (quantitative portion of the video feature), for example, the area, circumference, circularity, and center of gravity of an object such as a moving object. And / or color features, facial features, etc. are extracted. The feature amount is preferably extracted not only from the moving object but also from a stationary object or an object of a background image. As an example, the feature amount can be extracted using a method described on pages 60 to 62 of “Basics and Applications of Revised Digital Image Processing” issued by CQ Publishing Co., Ltd. on March 15, 2007. In step S2, the feature amount comparison processing unit 26 compares the feature amount with information in the feature amount DB 25 (for example, pattern recognition), and acquires a classification category candidate and a classification degree. Examples of classification category candidates include baby, hi-hi, walking, birthday, and the like, and an example of the classification degree can be a value from 0 to 1. As for the classification degree, for example, images such as baby, hi-hi, walking, birthday, etc. are compared with the information in the feature DB 25, and the degree of coincidence with the classification category candidate and the number of frames in which the classification category is shown. It can be expressed by a value obtained by multiplying the value obtained by dividing by the number of frames of the chapter video. A value obtained by multiplying the value by a weighting factor may be used as the classification degree. Since the birthday is an important event, the weighting factor increases. When the face of the baby is reflected in the chapter video, the feature amount comparison processing unit 26 accesses the face information registered in advance in the individual database of the feature amount DB 25, and when the face can be recognized. The name linked to this face information can be read out and used as one of the category category candidates of the chapter video.

  In step S3, the metadata creating unit 27 creates metadata corresponding to the chapter video (hereinafter referred to as chapter meta). Examples of the chapter meta include a target file name, chapter screen time information, and a classification meta including the classification category candidate and the classification degree. It is also possible to generate metadata synthesized with other classification categories. For example, if it is metadata such as Haruka's high-hi and Daiki-kun's birthday, it will be possible to better identify the chapter video. FIG. 12 shows a conceptual diagram of a screen for registering face information in the individual database. In step S4, it is determined whether or not all chapter videos have been classified. If NO, the process proceeds to step S5, and the next chapter video is sent to the video feature quantity extraction unit 24. . And the process of said step S1-S4 is repeated.

  Thereafter, when the determination in step S4 becomes affirmative, the process proceeds to step S6, and the metadata creation unit 27 performs processing for obtaining classification category candidates (hereinafter referred to as title candidates) for the entire video content by calculation. An example of this processing is shown in FIG. For example, the time from the beginning to the end of each chapter video is Tn (n = 1, 2,...), And the classification degree of each classification category candidate obtained in each chapter video is Pni (i = 1, 2,. ..), The classification category having the largest value of Tn × Pni is the first candidate for the title, and the classification category having the second largest value is the second candidate for the title. In the illustrated example, hi-hi is the first candidate and baby is the second candidate. As another processing example, the sum of Tn × Pni of the same classification category candidate is obtained for the entire video content, the classification category having the largest sum is the first candidate of the title, and the classification category having the second largest value is It is good also as a 2nd candidate of a title. Next, in step S7, the title candidates are registered as meta of the entire video content, that is, the entire video file (hereinafter referred to as title meta).

  Next, as shown in FIG. 6, the EPG creation unit 28 creates EPG (electronic program guide) information including the title meta and each chapter meta. For example, EPG information such as title: high-high, contents: (0 to 1 minute) baby, high-high, walking, (1-3 minutes) high-high, baby, walking is created.

  Next, functions of the BML / HTML creation unit 29 and the video file creation unit 30 will be described with reference to FIG.

  In step S11, the BML / HTML creation unit 29 creates BML or HTML data using the title meta and chapter meta. In step S12, it is determined whether or not BML or HTML data has been created for the chapter meta of all chapter videos. If the determination is negative, the process returns to step S11 to return to the next chapter video BML or HTML. Create data. If the determination in step S12 becomes affirmative, the process proceeds to step S13, and the video file creation unit 30 multiplexes the BML or HTML data, the EPG, and the video content to create a video file. The video file is sent to the VoD content storage unit and stored in association with the title meta and the chapter meta sent from the metadata creation unit 27 to the VoD content storage unit. The title meta and chapter meta BML or HTML data is data used to correct titles and classification categories, which will be described in detail later, and FIG. 8 shows a conceptual diagram of a correction screen of the VoD viewing device 6. The classification category candidates are displayed so as to be selectable by the user by the pull-down method in the order of the value of Tn × Pni.

  FIG. 9 is a conceptual diagram of data stored in the VoD content storage unit 31. As shown in the figure, the VoD content storage unit 31 stores a video file (video, BML / HTML data, EPG) 31a and metadata 31b in association with each other. The metadata 31b can be used mainly in search processing when a VoD viewing request is made by a user.

  Next, an overview of a feedback (correction) function performed by the VoD viewing device 6 will be described with reference to FIG.

  In step S21, the user inputs an ID and password and performs a VoD viewing operation. Here, the user can also search for videos to be viewed. In step S22, the requested video file is read from the VoD content storage unit 31, and the VoD viewing device 6 receives the read video file. In step S23, it is determined whether or not the correction function has been selected by the user. If the determination is affirmative, the process proceeds to step S24, and the representative chapter video (video with the maximum Tn × Pni) of each video file is converted to the title meta. Display with In the display example on the right side of S24, baby, hi-hi, walking, birthday, etc. correspond to the title meta of each video file, and A, B, C, D, E, F, etc. correspond to the representative chapter video of each video file. To do. This display is preferably performed in a partial area of the video screen of the VoD viewing device 6. The same applies to the display described below.

  In step S25, it is determined whether any one of the video files A to F is selected. If this determination is affirmative, the process proceeds to step S26 to display title candidates in a pull-down manner. The display example on the right side of S26 shows an example in which the video file A is selected and the title candidates are displayed in a pull-down manner in the order of baby, hi-hi, and walking. In step S27, it is determined whether or not there has been a correction from the first candidate of the title to another candidate. If there is no correction, the process proceeds to step S29. If there is, the correction content is transferred to the VoD platform 4 in step S28. Is fed back to step S26 for redisplay. The operation of the VoD platform 4 that has received the feedback will be described later with reference to FIG.

  In step S29, the chapter video in the selected video content is displayed together with the corresponding category category candidate. In the display example on the right side of S29, the chapter video is the video of chapter 1 and chapter 2, and the category category candidates corresponding to each are baby, hi-hi, walking, birthday, and the like. Next, it is determined whether or not there has been a correction from the first candidate of the classification category to another candidate. If there is no correction, the process proceeds to step S32, and if there is, the correction content is fed back to the VoD platform 4 in step S31. After that, the process returns to step S29 for redisplay. In step S32, it is determined whether or not the chapter division has been corrected. If not, the process proceeds to step S34. If it has been corrected, the correction contents are fed back to the VoD platform 4 in step S33 for redisplay. Return to step S29. In step S34, it is determined whether or not the correction operation has been completed. If the determination is negative, the process returns to step S24, and the representative chapter video of each video file is displayed again together with the title. Thereafter, the processes of steps S24 to S34 described above are repeated. If the determination in step S34 becomes affirmative as a result of this repetition, the correction process ends.

  Next, the operation of the VoD platform 4 that has received the feedback information will be described with reference to FIG. The feedback processing unit 42 determines whether or not feedback (correction) information is received in step S41. If the determination is affirmative, the process proceeds to step S42 to determine whether or not the correction content is chapter division. To do. If this determination is affirmative, the process proceeds to step S44 to notify the chapter division unit 23 of the correction content. Then, the chapter division unit 23 learns to correct the chapter division and update the parameters used for the chapter division to improve the accuracy.

  In step S43, it is determined whether or not the correction content is a title or chapter classification category of the video content. If this determination is affirmative, the process proceeds to step S45 to notify the feature amount DB 25 and the metadata creation unit 27. Thereby, the metadata creation unit 27 corrects the title meta or the chapter meta. In addition, the database for personal recognition or the general database in the feature DB 25 is updated to update the accuracy of metadata creation.

  When the feedback processing unit 42 notifies the update processing request, the corresponding video content is obtained from the VoD content storage unit and sent to the chapter division unit 23, and chapter division, video feature quantity extraction, feature quantity comparison, Metadata creation and video file creation will be performed again. Further, instead of obtaining the video content from the VoD content storage unit, the feedback processing unit 42 separately stores the video content somewhere in the video input unit 21, the video standard conversion unit 22, and the chapter division unit 23. A database that can call up video files may be provided.

  According to the present invention, a video content with a title and a classification category is automatically stored in a VoD content storage unit by simply transmitting a moving image or a still image captured by the user to the VoD platform via the network. can do. When a VoD reception request is made when necessary, the user can read his / her video content from the VoD content storage unit and play it back on the VoD viewing device. In addition, since the automatically assigned titles and classification categories can be modified according to the user's preference, video content with satisfactory titles and classification categories can be stored in the VoD content storage unit. . In addition, since the video shot by the user can be stored and managed in the VoD content storage unit, it is freed from the trouble of managing the video content by itself and the loss of the video content.

  As mentioned above, although this invention was demonstrated by preferable embodiment, it is clear that various deformation | transformation can be made in the range which does not deviate from the meaning of this invention.

  4 ... VoD platform, 6 ... VoD viewing device, 11, 22 ... Video standard conversion unit, 12 ... Video division unit, 13 ... Category category assignment unit, 14, 27 ... Meta Data creation unit, 15 ... content storage unit, 16 ... transmission unit, 17 ... feedback processing unit, 23 ... chapter division unit, 24 ... video feature amount extraction unit, 25 ... feature Amount DB, 26 ... feature amount comparison processing section, 28 ... EPG creation section, 29 ... BML / HTML creation section, 30 ... video file (TS) creation section, 31 ... VoD content storage Unit, 32... VoD sending unit, 41... VoD receiving unit, 42.

Claims (13)

A video standard converter that converts video content uploaded via the network to a predetermined video standard;
A classification category adding unit that automatically assigns a classification category to the video content converted by the video standard conversion unit;
A metadata creation unit for creating metadata including the classification category;
A content storage unit for storing a video file of the video content in association with the metadata;
A video file sending unit for sending a video file stored in the content storage unit via a network;
A feedback processing unit for processing the modified feedback information received via the network ,
The video content storage / viewing system, wherein the feedback processing unit makes an update processing request to at least one of the classification category adding unit and the metadata creating unit according to the content of the correction feedback information. A video standard converter that converts video content uploaded via the network to a predetermined video standard;
A video dividing unit that divides the video content converted by the video standard conversion unit into a plurality of video sections having a related content as one video section;
A classification category adding unit that automatically assigns a classification category to the video section divided by the dividing unit;
A metadata creation unit for creating metadata including the classification category;
A content storage unit for storing a video file of the video content in association with the metadata;
A video file sending unit for sending a video file stored in the content storage unit via a network;
A feedback processing unit for processing the modified feedback information received via the network ,
The video content storage / viewing system, wherein the feedback processing unit requests update processing to at least one of the video dividing unit, the classification category adding unit, and the metadata creating unit according to the content of the correction feedback information . The video content storage / viewing system according to claim 2,
The classification category adding unit includes a video feature amount extraction unit that extracts a feature amount of the video section, a feature amount database that stores a relationship between a video feature amount and a classification category, the feature amount, and the feature amount database. And a feature quantity comparison processing unit that uses a category category of similar feature quantities in the feature quantity database as a category category of the video section. The video content storage / viewing system according to claim 2,
The video content storage / viewing system, wherein the classification category assigning unit has a function of automatically assigning a title of the video content based on a classification category assigned to the video section. The video content storage / viewing system according to claim 2,
The video content storage / viewing system, wherein the metadata creation unit creates metadata of the video content including a title of the video content and a classification category of the video section. The video content storage / viewing system according to claim 5,
An EPG creation unit that creates an electronic program guide (EPG) using the title of the video content and the classification category of the video section;
A video content storage / viewing system comprising: a BML / HTML creation unit that describes metadata of a title of the video content and a classification category of the video section in BML or HTML language. The video content storage / viewing system according to claim 2,
The update processing request from the feedback processing unit is correction information of the video section,
The video content storage and viewing system, wherein the video division unit corrects a video section according to the correction information. In the video content storage and viewing system according to claim 3,
The update processing request from the feedback processing unit is correction information of the classification category,
The video content storage / viewing system, wherein the feature amount database corrects the relationship between the feature amount of the video and the classification category according to the correction information. The video content storage / viewing system according to claim 5,
The update processing request from the feedback processing unit is correction information of the classification category,
The video content storage / viewing system, wherein the metadata creation unit corrects a title of the video content or a classification category of the video section according to the correction information. Converting video content uploaded via a network into a predetermined video standard;
Automatically assigning a classification category to the video content converted to the video standard;
Creating metadata including the classification categories;
Storing the video file of the video content in association with the metadata;
Sending the stored video file via a network;
Processing the modified feedback information received via the network ;
A video content storage / viewing method comprising a step of updating at least one of the classification category assignment and the metadata creation in accordance with the content of the correction feedback information. Converting video content uploaded via a network into a predetermined video standard;
Dividing the video content having undergone video standard conversion into a plurality of video sections in which the related content is one video section;
Automatically assigning a classification category to the divided video section;
Creating metadata including the classification categories;
Storing the video file of the video content in association with the metadata;
Sending the stored video file via a network;
Processing the modified feedback information received via the network ;
A video content storage / viewing method comprising a step of updating at least one of the video division, classification category assignment, and metadata creation according to the content of the correction feedback information. The video content storage / viewing method according to claim 10 or 11,
Creating an electronic program guide (EPG) based on the metadata;
The video content storage and viewing method further comprising a step of describing the metadata in BML or HTML. The video content storage / viewing method according to claim 11 ,
As the video content classification category, the video content storage / viewing is characterized in that the feature quantity of the video section is compared with the pre-stored video feature quantity, and the classification category corresponding to the feature quantity with high similarity is used. Method.

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