JP2007201741A - Video content organization device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To automatically organize a plurality of video contents in consideration of viewer information, etc. <P>SOLUTION: In this video content organization device which organizes the video contents, attribute information of the video contents is associated with viewer attribute information, a concept sheet including item information regarding viewers for distribution, item information regarding a distribution period and priority of each item information is held by every genre, the video contents matching each item information of the concept sheet corresponding to genre specification information received from the viewers are selected based on the attribute information of the video contents and the viewer attribute information, the priority is attached to each of the selected video contents based on the priority of the information item and an order to distribute the video contents is decided. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a technique for distributing contents such as advertisement moving images to client terminals via a network.

  At present, it is possible to view various moving images by using a terminal such as a personal computer or a television connected to a network such as the Internet. In such a moving image distribution service via a network, a broadcast type service is also provided. In a conventional broadcast type service, a program organizer generally determines what kind of moving image to broadcast on a daily basis.

  However, when there is a large amount of moving image content, it is not realistic for a program organizer to select a moving image to be broadcast from a large amount of moving image content and organize daily broadcast contents.

  In the conventional broadcast-type service, the viewer only watches unilaterally according to the program organization created by the producer, and the viewer's hobbies and preferences are not reflected. There was a problem that it was not always possible to watch. In addition, in the VOD service or the like, it is possible to select and view a program that a viewer wants to watch whenever he / she wants to watch, but there is a problem that selecting a program takes time when the number of moving image contents becomes enormous.

In addition, there exists a technique currently disclosed by patent document 1, for example as a prior art relevant to advertisement content delivery.
Japanese Patent Laid-Open No. 2003-284041

  The present invention has been made in view of the above points, and selects a plurality of moving image contents to be distributed in consideration of elements such as viewer information from a large number of moving image contents, and the plurality of moving image contents. It is an object of the present invention to provide a moving picture organization technique that can automatically perform the organization.

  The above-described problem is a video content organization apparatus that organizes video content that constitutes a program to be distributed to a viewer, the video content attribute information storage unit that stores video content attribute information for each video content, and the viewer Viewer attribute information storage means for storing viewer attribute information every time, a keyword for selecting video content corresponding to a specific genre, and a viewer who is a target for distributing video content corresponding to the genre Concept sheet storage means for storing, for each genre, a concept sheet that includes item information, item information related to the time when video content corresponding to the genre is distributed, and priority of each item information, and viewers from the terminal of the viewer Receiving means for receiving an ID and genre specifying information for specifying the genre, and the genre specifying A concept sheet acquisition unit that acquires a concept sheet corresponding to the information from the concept sheet storage unit, and attribute information of the video content corresponding to the keyword described in the concept sheet acquired by the concept sheet acquisition unit Attribute information acquisition means that is acquired from the information storage means and acquires viewer attribute information corresponding to the viewer ID from the viewer attribute information storage means, and attribute information of the video content acquired by the attribute information acquisition means; Content selection means for selecting video content that matches the content of each item information in the concept sheet based on viewer attribute information, and priority of the item information for each video content selected by the content selection means Select by prioritizing based on It is solved by the video content editing device according to claim and a programming means for determining the order in which deliver video content.

  The program organizing unit assigns a score to each selected video content according to the degree of matching between the video content and the item information, and multiplies the score by a predetermined value according to the priority. The priority can be determined based on the score obtained by the above. The video content organizing apparatus may further include product attribute information storage means for storing product attribute information for each product, and the concept sheet may further include item information relating to products handled by the video content.

  According to the present invention, by using a concept sheet created in advance, video content attribute information, viewer attribute information, and the like, the content provider distributes an appropriate video to an appropriate viewer without the need for organization. It becomes possible to do. In addition, the viewer side can view a video that is of interest to him / herself without knowing it by simply inputting a genre name or the like.

  Hereinafter, a moving image distribution system according to an embodiment of the present invention will be described with reference to the drawings. Although the technique of the present invention can be applied to any moving image content, in the present embodiment, a case where the present invention is applied to an advertisement moving image will be described.

(Basic configuration)
FIG. 1 shows the configuration of a moving image distribution system according to an embodiment of the present invention. As shown in FIG. 1, the video distribution system according to the embodiment of the present invention includes a program organization server 1 that performs program organization, a video distribution server 2 that distributes advertising video, and a client terminal 3 on the viewer side. These are connected via the Internet 4.

  The moving image distribution server 2 has a function of distributing a program composed of a plurality of advertisement moving image contents organized by the program organization server 1 to each client terminal. The client terminal 3 is, for example, a PC (personal computer), and has a function of receiving and outputting a program distributed from the moving image distribution server 2 via the Internet. Note that the client terminal 3 and the moving image distribution server 2 can be realized using existing technology. Hereinafter, the configuration of the program organization server 1 will be described in detail.

  As shown in FIG. 1, the program organization server 1 includes a concept sheet creation function unit 11, a keyword reception function unit 12, an opening movie selection function unit 13, a concept sheet search function unit 14, an attribute data acquisition function unit 15, and a content selection function unit. 16, a program organization function unit 17, an external communication function unit 18, and a database storage unit 19.

  The concept sheet creation function unit 11 has functions for user authentication at the time of concept sheet creation, a function for providing a GUI for creating a concept sheet to a client terminal, a function for receiving and registering a concept sheet. The program is automatically organized based on the data of the concept sheet, details of which will be described later.

  The keyword reception function unit 12 has a function of receiving a keyword input to the client terminal 3 by the viewer via the network. The opening movie selection function unit 13 has a function of selecting an opening movie corresponding to the input keyword. The concept sheet search function unit 14 has a function of searching for a concept sheet corresponding to the input keyword. The attribute data acquisition function unit 15 has a function of acquiring attribute data existing in each database.

  In addition, the content selection function unit 16 has a function of selecting advertisement moving image content that is an element of a program based on the acquired attribute data and concept sheet data. The program organization function unit 17 has a function of determining a priority for a plurality of selected advertisement moving image contents and determining an order of distributing the plurality of advertisement moving image contents. The external communication function unit 18 has a function for performing communication with the outside via a network such as the Internet.

  The database storage unit 19 stores an advertisement moving image database 191, a product database 192, and a viewer database 193.

  The advertisement moving image database 191 stores an advertisement moving image attribute table indicating attributes (also referred to as metadata) of each advertisement moving image content together with the entity of the advertisement moving image content. FIG. 2 shows an example of items in the advertisement moving image attribute table. The main items are described below.

  “Advertising video ID” is an identifier that uniquely defines an advertising video or a concept sheet. The “genre / category” is a genre of the advertisement moving image content, and a plurality of genres can be associated with each other. The “keyword” is a keyword to be searched at the time of search, and a plurality of “keywords” can be described. “Product ID” is an identifier related to the product displayed in the advertisement video.

  “Video details” indicates the configuration and total atmosphere of the video of the advertisement video, and by referring to the value of this item, it becomes possible to unify the concept and configuration when programming. For example, “video content” is “storyable”, “product video only”, and the like, and is used when an advertisement moving image is selected in consideration of “video content”.

  The “recommended target layer” defines a layer that can be recommended as a target for distributing the advertisement video. For example, “age group” is specified as “˜ ○ years old”, “○ years old”, “○ years old”, and the like. In addition, the “resident area” can be specified not only by prefecture but also by each area (Kanto, Kansai).

  “Broadcast recommended time” is used to designate a time and date suitable for broadcasting the advertisement video. Further, it is possible to set not to “recommend” but to broadcast at times other than the set value. “○ month, ○ day” is specified as “○ month to ○ month”, “○ month ○ day to ○ month ○ day”, and the like. In addition, “○ hour to ○ hour” is for setting a time zone suitable for broadcasting, and in addition to specific time designation, designation such as AM, PM, midnight, etc. is also possible.

  The “video playback rule” is for setting the number of times of broadcasting by a contract with an advertiser. For example, “contract form” specifies that ○ times / day broadcasting is required. “Viewing status” is, for example, a viewing rate (selection rate) in units of days, weeks, and months, and is updated as needed. It can be used when preferentially broadcasting a topical advertisement video or when checking the broadcast status of an advertisement video.

  The product database 192 stores a product attribute table indicating product attributes. FIG. 3 shows an example of items in the product attribute table. In the “purchase layer” of “sales status” in the product attribute table, the attribute of the user who purchased the product is recorded as a history.

  The viewer database 193 stores a viewer attribute table showing viewer attributes. FIG. 4 shows an example of items in the viewer attribute table. The main items of the viewer attribute table will be described below.

  “Viewer ID” is an identifier for uniquely identifying a viewer. “Viewer information” is information for setting individual viewer information. The content of each item is input by the viewer at the time of registration, for example. “Purchase history” is information on products purchased by the viewer, and can be used when products related to purchased products are preferentially introduced. The “viewing history” is a history of advertisement videos viewed by the viewer, and is updated as needed. By using this data, it is possible to set whether or not to show the advertisement once viewed. The “viewing state” makes it possible to collect statistics on the viewing state of the advertisement video. The “viewing state” can be set to “viewed to the end”, “skipped video”, etc., and the viewer's hobbies and preferences can be grasped by this value. In addition, it can be used for the popularity survey of the corresponding advertisement video. “Selected genre” of “purchase history” is a history of a genre selected by the viewer, and it is possible to estimate a hobby preference separately from a genre of interest registered in advance by this value. Note that the viewing history can be acquired by monitoring a command related to viewing from the client terminal, and the purchase history can be acquired from a product purchase site, for example.

  In the configuration of FIG. 1, a program organized by the program organization server 1 is sent to the moving image distribution server 2 and distributed to the client terminal 3. In addition, you may comprise the program organization server 1 and the moving image delivery server 2 as integral. Further, the program organization server 1 does not hold the content entity, the video distribution server 2 holds the content entity, the program organization server 1 sends only the organization result to the video distribution server 2, and the video distribution server 2 performs the organization. Content may be distributed based on the result.

The program organization server 1 can be realized using a general computer having a CPU and a storage device. Each functional unit in the program organization server 1 is realized by a program installed in the program organization server 1. The program can be stored and distributed in a recording medium such as a memory, or can be distributed in the form of being downloaded from a server via a network.
(Processing flow of the program organization server 1)
Next, the flow of processing by the program organization server 1 will be described. In the process by the program organization server 1, a concept sheet is first created by the concept sheet creation function unit 11 (step 1). Then, the program is organized using the concept sheet (step 2). Hereinafter, the processing of each step will be described in more detail.

[About creating a concept sheet]
Concept sheets are created for each genre. The genre in which the concept sheet is created can have a hierarchical structure as shown in FIG. 5, for example. Concept sheets are created for each genre shown in FIG.

  An advertisement moving image is selected based on the contents described in the concept sheet, the advertisement moving image attribute data, the product attribute data, and the viewer attribute data. Since the concept sheet can also be an element of the program, the same attribute data as the advertisement moving image is assigned to the concept sheet itself. Further, although the created concept sheet data is stored in the advertisement moving image database 191, it may be stored in a storage means other than the advertisement moving image DB 191. FIG. 6 shows a flow of creating a concept sheet.

  When a user terminal that creates a concept sheet accesses the program organization server 1, the program organization server 1 performs user authentication (step 101). Here, the program organization server 1 registers in advance users who have the authority to create concept sheets, and checks whether the accessed user is included in the registered users. Subsequently, the program organization server 1 displays a concept sheet creation GUI on the user's terminal (step 102) and accepts input of each item in the concept sheet input by the user (step 103). The input data is stored as a concept sheet in the advertisement moving image database 191 (step 104). FIG. 7 shows an example of concept sheet data. The GUI for creating a concept sheet will be described later.

[Program organization process flow]
FIG. 8 shows a processing flow for program organization. First, the keyword receiving function unit 12 receives a viewer ID and a genre name as a keyword from the client terminal (step 201). Subsequently, the opening movie selection function unit 13 selects an advertisement video of a genre / category suitable for the input genre as an opening movie from the advertisement video database 191 (step 202), and the distribution of the opening movie is performed by the video distribution server 2. To the client terminal (step 203).

  By distributing the opening movie, the viewer does not feel stress even if there is some waiting time during the composition. In addition to advertising videos corresponding to the genre entered by the viewer, advertising videos of information on campaigns being executed by the service operator, advertising videos suitable for the viewer's residence area, age, etc. may be distributed. Good.

  Then, the concept sheet search function unit 14 acquires a concept sheet that matches the input genre (step 204).

  Thereafter, the advertisement data contents are selected and narrowed down based on the concept sheet by the attribute data acquisition function section 15 and the content selection function section 16, and the program organization function section 17 organizes the program based on the selected advertisement video contents. . These processes will be described in detail with reference to FIGS.

  First, in step 205 in FIG. 9, the attribute data acquisition function unit 15 acquires the ID of the advertisement video having the keyword specified in the “search keyword” of the concept sheet from the advertisement video attribute table. As shown in the right column of FIG. 9, for example, if the keywords specified in the “search keyword” of the concept sheet are “car” and “car”, the advertisement video having the keyword “car” or “car” Get the ID.

  Subsequently, the attribute data acquisition function unit 15 acquires viewer attribute data corresponding to the viewer ID of the accessing viewer from the viewer database 193 (step 206). As shown in the right column, for example, data including “20 years old” and “male” as viewer attributes is acquired. Then, the content selection function unit 16 designates “target audience” of the concept sheet based on “viewer information” included in the viewer attribute data and each item of “recommended target layer” of the attribute data of each advertisement video. In accordance with the content, the advertisement video that is not the target is excluded (step 207). As shown in the right column, if it is specified in the “target audience” on the concept sheet that content that does not match the target age is excluded, Excluded.

  Next, in the step of FIG. 10, the content selection function unit 16 compares the current date and time with each item of “recommended broadcast time” of the advertisement video attribute data, and is designated by “target viewing time” of the concept sheet. Excludes advertising videos that are not eligible for this. For example, if it is specified that content that does not match the target time in the “target viewing time” of the concept sheet has been specified, advertising videos that do not match the current date and time are excluded.

  Subsequently, the content selection function unit 16 compares the “video details” of the advertisement video attribute data with the contents specified in the “video details” of the concept sheet, and excludes the advertising video that is not the target (step 209). . As shown in the right column, for example, when the concept sheet specifies that only “live-action” is selected, advertising moving images whose “video type” is animation are excluded.

  Thereafter, in step 210 of FIG. 11, the attribute data acquisition function unit 15 acquires product attribute data corresponding to the “product ID” of each advertisement video from the product database 192. Then, the content selection function unit 16 compares the content specified in the “data details” “sales status” of the product attribute data with the “product information” of the concept sheet, and the advertisement video corresponding to the product attribute data that is not the target. Are excluded (step 211). For example, when it is specified in the concept sheet that an advertisement moving image that deals with a product that has passed one year or more from the release date is specified, such an advertising moving image is excluded.

  Next, in step 212 of FIG. 12, the content selection function unit 16 compares the “viewing history” of the viewer attribute data with the “advertising video ID” of the advertising video attribute data, and designates it with “viewer information” of the concept sheet. Exclude advertising videos that are not eligible in accordance with the content. As shown in the right column, for example, in the concept sheet, when it is specified that an advertisement video that has been viewed to the end is excluded, such an advertisement video is excluded based on “viewing history”.

  Then, the content selection function unit 16 compares the contents specified by the “viewing status” of the advertisement moving image attribute data and the “viewing rate information” of the concept sheet, and excludes the advertising moving images that are not targeted (step 213). Further, the contents specified in the “video playback rule” in the advertisement moving image attribute data and the “contract form details” in the concept sheet are compared, and the excluded advertisement moving image is excluded (step 214). In the right column, these are not considered in the concept sheet, so in this example no narrowing occurs.

  Subsequently, in step 215 of FIG. 13, the program organization function unit 17 evaluates the advertisement moving image for each classification item (target viewer, target viewing time, etc.) for which “consideration” is set in the concept sheet. For example, if the “target viewing time” in the concept sheet is “considering” and the “recommended broadcast time” of the advertisement attribute is autumn and November, and the current is November, the relevant item for the category item The evaluation value of the advertisement video is high.

  Then, the program organization function unit 17 multiplies the evaluation obtained in step 215 by a weight according to “priority of classification items” set in the concept sheet (step 216). For example, if “priority of classification item” of “target viewing time” in the concept sheet is “high”, a predetermined value is multiplied to the evaluation value of the classification item attached in step 215.

  Subsequently, the program organization function unit 17 adds the evaluations for each classification item for each advertisement moving image, and determines the broadcast priority from the advertisement moving image having the highest evaluation score (step 217). That is, the higher the score, the higher the priority. The higher the priority, the earlier the distribution.

  If the “maximum number of videos” and “maximum video time” in the concept sheet are exceeded, the subsequent advertisement video is not broadcast (step 218). In this way, the advertisement moving images broadcast to the viewer and the order in which they are broadcast are determined, and the advertisement moving images are distributed according to the order.

(Concept sheet creation GUI)
An example of a concept sheet creation GUI is shown in FIGS. 14 to 20 show examples of screens displayed on the terminal of the user who creates the outlet sheet, and FIGS. 14 to 20 are sequentially displayed. By inputting data from these screens, for example, the data shown in FIG. 7 is created. The main items are described in the figure, but important points regarding the organization are described below.

  In FIG. 15, for example, “target priority” is selected in the “sex” item of “target viewer”. Thereby, the advertisement moving image in which the gender specified in the “sex” of the “recommended target layer” of the advertisement moving image attribute matches the gender of the viewer is added according to the priority. In addition, advertising videos that do not match the gender of the viewer are not added (but remain as selection targets). For example, when the priority is set to “high”, in the advertisement video in which the gender of the viewer is male and “male” is designated as the “sex” of the “recommended target audience”, 1 × 3 = 3 Points are added. In addition, although the viewer's gender is female and “male” is designated for “gender” in the “recommended target audience”, points are not added but remain as selection targets. When “Do not select non-target” is selected, it is not selected unless they match. If they match, points are added based on priority.

  Evaluation for final composition is performed based on the data input on the screen of FIG. That is, first, for each selected advertisement video, each item for which “consideration” in the category item is selected (for example, “sex”, “age group”, “resident area” in “target audience” in FIG. 15). ) Is added. The point when each item is matched is 1 point, the item with high priority is 1P × 3 = 3P, the item with medium priority is 1P × 2 = 2P, and the item with low priority Is 1P × 1 = 1P.

  Then, a total score is calculated in each category item, the category item priority is referred to, and the item of the category item priority “high” is, for example, the sum of each item in the category item × 5, and the category item priority “ The item “medium” is the sum of the items in the category item × 3, and the item of the category item priority “low” is the sum of the items in the category item × 1. Finally, all the points are summed up, and the priority of broadcasting is increased from the one with the highest points.

  In this embodiment, an example is shown in which a concept sheet is created based on data input from a user. However, it is also possible to automatically create a concept sheet based on keywords, viewer IDs, etc. input from viewers. It is. In this case, the classification items to be considered and their contents are determined from the viewer's attribute information, purchase history, viewing history, and the like. For example, if the viewer is a male and a lot of video content targeting the male is watched, the “sex” of the “target viewer” is “considered” and the priority is “high”. To do.

  The present invention is not limited to the above-described embodiment, and various modifications and applications can be made within the scope of the claims.

It is a block diagram of the moving image delivery system in embodiment of this invention. It is a figure which shows the example of an item of an advertisement moving image attribute table. It is a figure which shows the example of an item of a goods attribute table. It is a figure which shows the example of an item of a viewer attribute table. It is a figure which shows the structural example of a genre. It is a flowchart of creation of a concept sheet. It is a figure which shows the example of data of a concept sheet. It is a processing flowchart (step 201-204) for program organization. It is a process flowchart (steps 205-207) for program organization. It is a process flowchart (steps 208-209) for program organization. It is a process flowchart (steps 210-211) for program organization. It is a process flowchart (steps 212-214) for program organization. It is a process flowchart (steps 215-218) for program organization. It is an example (part 1) of a concept sheet creation GUI screen. It is an example (part 2) of a concept sheet creation GUI screen. It is an example (part 3) of a concept sheet creation GUI screen. It is an example (4) of concept sheet creation GUI screens. It is an example (part 5) of a concept sheet creation GUI screen. It is an example (6) of concept sheet creation GUI screens. It is an example (part 7) of a concept sheet creation GUI screen.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Program organization server 2 Movie distribution server 3 Client terminal 4 Internet 11 Concept sheet creation function part 12 Keyword reception function part 13 Opening movie selection function part 14 Concept sheet search function part 15 Attribute data acquisition function part 16 Content selection function part 17 Program organization Function unit 18 External communication function unit 19 Database storage unit 191 Advertising video database 192 Product database 193 Viewer database

Claims (3)

A video content organization device that organizes video content that constitutes a program distributed to a viewer,
Video content attribute information storage means for storing video content attribute information for each video content;
Viewer attribute information storage means for storing viewer attribute information for each viewer;
A keyword for selecting video content corresponding to a specific genre, item information relating to a viewer to whom video content corresponding to the genre is distributed, and item information relating to a time when video content corresponding to the genre is distributed And a concept sheet storing means for storing a concept sheet including the priority of each item information for each genre,
Receiving means for receiving a viewer ID and genre specifying information for specifying the genre from a viewer terminal;
Concept sheet acquisition means for acquiring a concept sheet corresponding to the genre specifying information from the concept sheet storage means;
The attribute information of the video content corresponding to the keyword described in the concept sheet acquired by the concept sheet acquisition unit is acquired from the video content attribute information storage unit, and the viewer attribute information corresponding to the viewer ID is acquired. Attribute information acquisition means acquired from the person attribute information storage means,
Content selection means for selecting video content that matches the content of each item information in the concept sheet, based on the attribute information and viewer attribute information of the video content acquired by the attribute information acquisition means;
Program scheduling means for determining the order in which the selected video content is distributed by giving priority to each video content selected by the content selection means using the priority of the item information. A video content organizing apparatus.   The program organizing unit assigns a score to each selected video content according to the degree of matching between the video content and the item information, and multiplies the score by a predetermined value according to the priority. The video content organization apparatus according to claim 1, wherein the priority is determined based on the score obtained by the step.   3. The video content organizing apparatus further includes product attribute information storage means for storing product attribute information for each product, and the concept sheet further includes item information relating to products handled by the video content. The moving image content organization apparatus described in 1.

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