KR101875265B1 - Apparatus and Method for Automatically Combining Products based on Headword - Google Patents

Apparatus and Method for Automatically Combining Products based on Headword Download PDF

Info

Publication number
KR101875265B1
KR101875265B1 KR1020160015049A KR20160015049A KR101875265B1 KR 101875265 B1 KR101875265 B1 KR 101875265B1 KR 1020160015049 A KR1020160015049 A KR 1020160015049A KR 20160015049 A KR20160015049 A KR 20160015049A KR 101875265 B1 KR101875265 B1 KR 101875265B1
Authority
KR
South Korea
Prior art keywords
scene
lemma
information
broadcast program
product
Prior art date
Application number
KR1020160015049A
Other languages
Korean (ko)
Other versions
KR20170086383A (en
Inventor
이상윤
손정우
김선중
김승희
박소영
박원주
이현우
Original Assignee
한국전자통신연구원
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 한국전자통신연구원 filed Critical 한국전자통신연구원
Publication of KR20170086383A publication Critical patent/KR20170086383A/en
Application granted granted Critical
Publication of KR101875265B1 publication Critical patent/KR101875265B1/en

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/84—Generation or processing of descriptive data, e.g. content descriptors
    • H04N21/8405—Generation or processing of descriptive data, e.g. content descriptors represented by keywords
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
    • H04N21/47815—Electronic shopping
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/8126—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts
    • H04N21/8133—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts specifically related to the content, e.g. biography of the actors in a movie, detailed information about an article seen in a video program
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/85—Assembly of content; Generation of multimedia applications
    • H04N21/854—Content authoring
    • H04N21/8549—Creating video summaries, e.g. movie trailer

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Computer Security & Cryptography (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

The present invention relates to a headword-based merchandise automatic matching apparatus, comprising: a broadcast program analyzing unit for dividing a broadcast program into scene units, analyzing characteristics of each of the divided scenes to generate a corresponding lemma; And a goods combining unit for combining the goods matching the corresponding heading.

Description

[0001] The present invention relates to an apparatus and a method for automatically combining an article based on a headword,

The present invention relates to a technique for providing additional information for a broadcast program, and more particularly to an apparatus and method for providing product information associated with a scene of a broadcast program.

Services such as downloading or streaming the entire broadcast program through a portal site such as Youtube, Naver, or a broadcasting company are provided. In addition, a VOD service capable of selecting and viewing only a part of a scene of a broadcast program is provided.

There are apps for Internet sites or smart devices that can be purchased by users by providing information on the accessories of the actors and the clothes worn by actors appearing in the drama drama.

However, the conventional technologies for providing product information related to a broadcast program have the following problems.

First, when a broadcast program is divided into scene units, a scene to be artificially divided is determined according to an individual's judgment without an objective criterion. Therefore, the results of the divided scenes are inconsistent depending on the operator.

In addition, when combining items associated with a broadcast program, the viewer who watches the broadcast directly recommends and combines the related items. Not only is this economical in terms of labor costs, but it is almost impossible to combine products related to one another in many video contents produced / distributed in real time.

In addition, there is no case in which a product is recommended and combined by dividing it into scene units, and in the case of combining a headword and a product information of a scene unit, the headword and product information are often not directly related.

The present invention provides a headword-based automatic product joining apparatus and method for dividing a scene using feature information of a broadcast program, extracting vocabulary words for each divided scene, and automatically combining the extracted vocabulary words with related products.

The present invention provides a headword-based automatic joining apparatus and method for expanding the extracted scene lemmas to increase the linkage with a product.

The present invention analyzes information included in a broadcast program, automatically generates a lemma to represent each scene of the scene, expands the generated lemma, automatically combines the products in the product information database, And provides a system for automatic joining of products based on a lemma based on the information.

In addition, the present invention provides a method and apparatus for selecting a scene from a broadcast additional information service terminal, providing merchandise information according to a selected scene, linking a purchase, displaying vocabulary words according to scenes, and providing vocabulary information when a vocabulary is selected. Apparatus and method.

The present invention also provides a method for switching between a broadcast program playback screen and a scene playback screen, a method for displaying and browsing each scene, a method for recommending a product therefrom, and a scene playback method.

The present invention relates to a headword-based merchandise automatic matching apparatus, comprising: a broadcast program analyzing unit for dividing a broadcast program into scene units, analyzing characteristics of each of the divided scenes to generate a corresponding lemma; And a goods combining unit for combining the goods matching the corresponding heading.

The present invention relates to a headword-based automatic product joining method, comprising: dividing a broadcast program into scene units, analyzing characteristics of each of the divided scenes to generate a corresponding lemma; Lt; RTI ID = 0.0 > merchandise. ≪ / RTI >

The present invention differs from the conventional art in that the entire program is not a subject but recommends commodity information related to the scene with respect to scenes, and is automatically recommended in view of manual recommendation of a commodity It is superior to the technology.

In addition, it is superior to the simple mapping method of the prior art in that the linkage rate with the product information can be increased by expanding the lemma.

The broadcast program scene is superior to the prior art in that it automatically recommends the product information or headwords associated with the change in the flow of time.

1 is a block diagram of a system including a lemma-based automatic commodity joining apparatus according to an embodiment of the present invention.
2 is a detailed configuration diagram of a broadcast program analyzing unit according to an embodiment of the present invention.
3 is a configuration diagram of a merchandise combining unit according to an embodiment of the present invention.
4 is a flowchart illustrating a lemma based automatic product combining method according to an embodiment of the present invention.
5 is a flow chart for explaining a program analysis step according to an embodiment of the present invention.
6 is a flow chart for explaining a product combining step according to an embodiment of the present invention.
7A and 7B are flowcharts for explaining a broadcast supplementary information providing method according to an embodiment of the present invention.
8 to 13 are views showing examples of a broadcast additional information service screen of a terminal according to the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout.

In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

The terms used throughout the specification are defined in consideration of the functions in the embodiments of the present invention and can be sufficiently modified according to the intentions and customs of the user or the operator. It should be based on the contents of.

1 is a block diagram of a system including a lemma-based automatic commodity joining apparatus according to an embodiment of the present invention.

Referring to FIG. 1, a lemma-based automatic goods matching apparatus 1 includes a broadcast program analyzing unit 100 and a goods combining unit 200. It also includes a goods information database 10 and a goods combination database 20.

The broadcast program analyzing unit 100 divides a broadcast program into scene units, analyzes characteristics of each of the divided scenes, and generates a corresponding lemma. That is, a broadcast program is acquired from a broadcast program storage unit 3 in which a broadcast program is stored, a broadcast program is divided in units of scenes, and at least one of subtitles, audio, and color information included in the divided scenes is extracted , And the scene lemma is generated according to the extracted feature. A detailed description thereof will be given later with reference to Fig.

The goods combining unit 200 combines the goods matching the lemma corresponding to each of the divided scenes. That is, a product matching the scene lemmas generated from the broadcast program analyzing unit 100 is combined using a product in the product information database 10, and the result is stored in the product combination database 20. [ A detailed description thereof will be given later with reference to Fig. Here, the product information database 10 stores information on products to be displayed to TV viewers in connection with a scene of a broadcast program, and the product combination database 20 stores combined product information.

The broadcast additional information service terminal (hereinafter referred to as "terminal") 2 outputs the commodity information associated with the broadcast program generated by the headword-based commodity automatic joining device 1. [ That is, the viewer can receive the product advertisement service in the goods combination database 20 through the terminal 2 while watching the broadcast program in the broadcast program storage unit 3. [ A detailed description of a method of providing a broadcast additional information service by the terminal 2 will be described later with reference to FIGS. 7A to 13.

2 is a detailed configuration diagram of a broadcast program analyzing unit according to an embodiment of the present invention.

Referring to FIG. 2, the broadcast program analyzing unit 100 includes a scene dividing unit 110, a scene analyzing unit 120, a scene lemma generating unit 130, and a scene storing unit 140.

The scene division unit 110 divides a broadcast program acquired by the broadcast program storage unit 3 into scene units.

The scene analyzing unit 120 generates at least one of subtitle information, color information, and audio information extracted from a broadcast program and generates a basic vocabulary of a divided scene.

According to one embodiment, the scene analyzing unit 120 includes a caption extracting unit 121, a scene / caption combining unit 122, and a caption analyzing unit 123. The caption extracting unit 121 extracts caption information about a broadcast program acquired by the broadcast program storage unit 3. [ The scene / caption combining unit 122 combines the specific captions included in the specific scene using the extracted captions and scenes. The caption analyzing unit 123 processes the extracted caption to generate a basic vocabulary necessary for generating a vocabulary entry.

According to another embodiment, the scene analyzing unit 120 includes an audio extracting unit 124, a scene / audio combining unit 125, and an audio analyzing unit 126. The audio extracting unit 124 extracts the audio information of the broadcast program acquired by the broadcast program storage unit 3. The scene / audio combining unit 125 combines the audio included in the specific scene using the extracted audio and scene. The audio analyzer 126 processes the extracted audio to generate a basic vocabulary needed for vocabulary generation.

The scene lemma generating unit 130 generates a final scene unit lemma by expanding the base lemma generated by at least one of the caption analyzing unit 123 and the audio analyzing unit 126. [

The scene storage unit 140 stores the results of the scene / caption combination unit 140 and the scene / audio combination unit 150 and stores the final scene unit vocabulary generated by the scene vocabulary generation unit 130, Table 1 is an example of a data structure that stores final scene unit headwords.

Figure 112016012864732-pat00001

Table 1 shows a program identifier for individually identifying a broadcast program, a scene number for individually identifying scenes divided for each program, a scene start time for expressing a scene start point, an end point of a scene A scene end time to express and an entry word for each scene as attributes. At this time, the scene start time and the scene end time may be represented by a time unit or a frame number. The headword attribute may have a plurality of headword values for each scene, and each headword may have a weight value indicating importance.

3 is a configuration diagram of a merchandise combining unit according to an embodiment of the present invention.

3, the goods combining unit 200 includes a vocabulary entry expanding unit 210, a goods searching unit 220, a goods category matching unit 230, and a goods combination information generating unit 240.

The scene vocabulary expansion unit 210 expands a scene vocabulary using a vocabulary expansion source (not shown) based on a basic vocabulary generated by the broadcasting program analysis unit 100. That is, since the base lemma generated by the broadcasting program analyzing unit 100 uses at least one of the caption information and the audio information included in the broadcasting program, the association may be insufficient in linking with the commodity. In order to compensate for this, it is necessary to expand the lemma, and the lemma vocabulary expansion unit 210 performs the vocabulary expansion. Here, as a lemma extension source, an ontology-based knowledge base may be utilized.

The goods searching unit 220 obtains the goods information from the goods information database 10.

The merchandise category matching unit 230 assigns scene lemmas to the retrieved merchandise information.

The product combination information generation unit 240 finally generates product combination information that combines the product information and the scene lemmas, and stores the combined product information in the product combination database 30.

An example of the data structure of the goods combination database 20 in which the goods combination information for the broadcast program generated by the goods combination unit 200 is stored is shown in Table 2 below.

Figure 112016012864732-pat00002

Referring to Table 2, the product combination database 20 can have a program identifier, a scene number, a scene start time, a scene end time, and a lemma as attributes that inherit property information of the scene storage unit 140 , And the product combination information may have additional attributes. The product combination information may include product information such as a product name and a price, a product image URL, and a detailed information link to the product.

4 is a flowchart illustrating a lemma based automatic product combining method according to an embodiment of the present invention.

Referring to FIG. 4, the apparatus 1 divides a broadcast program into scene units, analyzes characteristics of each of the divided scenes, and generates a corresponding lemma (S410). That is, a broadcast program is acquired from a broadcast program storage unit 3 in which a broadcast program is stored, a broadcast program is divided in units of scenes, and at least one of subtitles, audio, and color information included in the divided scenes is extracted , And the scene lemma is generated according to the extracted feature. A detailed description thereof will be given later with reference to Fig.

The apparatus 1 combines the commodities corresponding to the headwords corresponding to each of the divided scenes (S420). That is, the merchandise corresponding to the generated scene vocabulary entry is combined using the merchandise in the merchandise information database 10, and the result is stored in the merchandise combination database 20. A detailed description thereof will be given later with reference to Fig.

5 is a flow chart for explaining a program analysis step according to an embodiment of the present invention.

Referring to FIG. 5, the apparatus 1 divides the broadcast program acquired by the broadcast program storage unit 3 into scene units (S510). Then, the device 1 generates at least one of the subtitle information, the color information, and the audio information extracted from the broadcast program (S520, S530). Although steps S520 and S530 are shown as time-series processing in FIG. 5, they may be performed in parallel, or the order may be changed. Also, only one of steps S520 and S530 may be performed.

According to one embodiment, the apparatus 1 extracts caption information about a broadcast program acquired by the broadcast program storage unit 3 (S521), and extracts specific captions included in a specific scene using the extracted captions and scenes (S522), and the extracted subtitle is processed to generate a basic vocabulary required for vocabulary generation (S523).

According to another embodiment, the apparatus 1 extracts the audio information of the broadcast program acquired in the broadcast program storage unit 3 (S531), combines the audio included in the specific scene using the extracted audio and scenes (S532), and the extracted audio is processed to generate a basic vocabulary required for vocabulary entry generation (S533).

The apparatus 1 expands the base lemma generated in at least one of steps S520 and S530 to generate a final scene unit lemma (S540).

The device 1 stores the final scene unit vocabulary (S550), and it can be stored in the form of a data structure as shown in <Table 1>.

6 is a flow chart for explaining a product combining step according to an embodiment of the present invention.

Referring to FIG. 6, the apparatus 1 expands the scene entry using a headword expansion source based on the base entry word (S610). Here, as a lemma extension source, an ontology-based knowledge base may be utilized.

The apparatus 1 obtains the product information from the product information database 10 (S620), assigns scene lemmas to the retrieved product information (S630), finally generates product combination information combining the product information and the scene lemmas, And stores it in the combined database 30 (S640). Here, an embodiment of the data structure of the product combination information is shown in Table 2 above.

7A and 7B are flowcharts for explaining a method of providing broadcast additional information according to an embodiment of the present invention, and FIGS. 8 to 13 illustrate examples of a broadcast additional information service screen of a terminal according to the present invention .

Referring to FIG. 7A, the terminal 2 reproduces a broadcast program (S710), and outputs a list of all products for the broadcast program and a list of two or more scenes in which the broadcast program is divided (S720).

8, the screen of the terminal 2 includes a broadcast program reproduction area 810 for reproducing a broadcast program video, a broadcast program information output area 820 for outputting information about the broadcast program, A scene list output area 830 for directly reproducing scenes when a key frame image and a key frame image are selected, and a product information list output area 840 for providing additional product information according to the selected scene . Here, the product information list output area 830 can provide product information based on the entire broadcast program when a specific scene is not selected.

Referring to FIG. 9, as the user selects a broadcast program playback area, the screen of the terminal 2 is expanded and expanded to the full screen of the broadcast program playback area 810. Conversely, the entire broadcast screen may be switched to a reduced broadcast screen.

Referring again to FIG. 7A, the terminal 2 reproduces the selected scene (S740) by selecting one of the scenes (S730), and also displays a list of the products mapped to the selected scene (S750).

10, when the user selects scene 3 (333) from the scenes included in the scene list output area 830, the scene 3 is reproduced through the broadcast program playback area 810, The product information output to the output area 840 is switched from the product information output to the entire broadcast to the product information for the scene 3. [

Referring to FIG. 7B, the terminal 2 switches to the detailed information screen for the selected product (S770) by selecting one of the products (S760). In addition, the terminal 2 outputs detailed information on the product to the entire screen, and then switches to the purchase screen in response to the purchase request (S780) from the user (S780).

Referring to FIG. 11, when the user selects a specific product from the product information list output area 840, the user can switch to the product detail information screen 850 or conversely return to the original screen from the product detail information screen 830 You may.

Further, according to another embodiment, as one of the scenes is selected, the terminal 2 reproduces the selected scene, and switches from the list of all products for the broadcast program to the list of the headwords mapped to the selected scene It is possible.

Referring to FIG. 12, a lemma list 860 is output in the product information window instead of the merchandise information list, as an embodiment of the merchandise information output area 840, which is a part of the terminal 2. A lemma for the entire broadcast program may be displayed, or a lemma for the scene may be displayed when a specific scene is selected.

13, when a lemma is selected as an embodiment of the goods information output area 840, which is a part of the terminal 2, the lemma may be switched to a merchandise information screen 560 mapped to the lemma, . &Lt; / RTI &gt; The product detail information screen 560 can be automatically switched according to the product 582 to be selected.

Claims (20)

A program analyzer for dividing a broadcast program into scene units, analyzing characteristics of each of the divided scenes to generate corresponding scene lemmas; And
A merchandise combining unit for combining merchandise corresponding to a scene lemma corresponding to each of the divided scenes,
Lt; / RTI &gt;
Wherein the program analyzing unit analyzes,
1) extracting caption information from the broadcast program, combining caption information included in a specific scene with respect to the divided scenes, processing the extracted caption information to generate a base lemma for generating a scene lemma, or 2 ) Extracts audio information from the broadcast program, combines the specific audio included in the specific scene with respect to the divided scenes, processes the extracted audio information to generate a base lemma for generating a scene lemma,
Generating a scene lemma using at least one of a base lemma generated through the caption information or a base lemma generated through audio information,
The scene entry word
And a weight value indicating a degree of importance in each of the divided scenes,
The commodity-
Expanding a scene lemma using an ontology-based lemma extension source based on the basic lemma; providing the expanded scene lemma to product information searched through a product information database; A headword-based product automatic joining device for generating a headword-based product automatic joining device.
delete The method according to claim 1,
The program analyzing unit,
And a scene storage unit for storing the scene entry word,
Wherein the scene storage unit stores,
A program identifier, a scene number, a scene start time, a scene end time, and a lemma as attributes.
delete A method for automatic product joining performed by an automatic joining apparatus,
Dividing a broadcast program into scene units, analyzing characteristics of each of the divided scenes and generating corresponding scene lemmas; And
Combining the goods matching the scene lemmas corresponding to each of the divided scenes
Lt; / RTI &gt;
The step of generating the scene entry may include:
1) extracting caption information from the broadcast program, combining caption information included in a specific scene with respect to the divided scenes, processing the extracted caption information to generate a base lemma for generating a scene lemma, or 2 ) Extracts audio information from the broadcast program, combines the specific audio included in the specific scene with respect to the divided scenes, processes the extracted audio information to generate a base lemma for generating a scene lemma,
Generating a scene lemma using at least one of a base lemma generated through the caption information or a base lemma generated through audio information,
The scene entry word
And a weight value indicating a degree of importance in each of the divided scenes,
The method of claim 1,
Expanding a scene lemma using an ontology-based lemma extension source based on the basic lemma; providing the expanded scene lemma to product information searched through a product information database; Based on an automatic joining method.
delete 6. The method of claim 5,
Wherein the generating comprises:
Further comprising the step of storing the lemma as a table including a program identifier, a scene number, a scene start time, a scene end time, and a lemma as attributes.
delete A broadcast additional information providing method performed by a broadcast additional information service terminal,
Reproducing a broadcast program and outputting a list of all products related to the broadcast program and a list of two or more scenes in which the broadcast program is divided; And
Selecting one of the scenes to reproduce the selected scene and switching from a list of all goods for the broadcast program to a list of entries mapped to the selected scene
Lt; / RTI &gt;
The headword list of the products mapped to the selection scene may include:
A scene entry word corresponding to the product information mapped to the selected scene selected by the user among the scenes constituting the broadcast program being reproduced is displayed,
The scene lemma includes:
Based on an automatic joining device based on a lemma, and stored in a product combining database of an automatic joining device as product combining information combined with the product information,
The automatic goods joining device comprises:
1) extracting caption information from the broadcast program, combining caption information included in a specific scene with respect to the divided scenes, processing the extracted caption information to generate a base lemma for generating a scene lemma, or 2 ) Extracts audio information from the broadcast program, combines the specific audio included in the specific scene with respect to the divided scenes, processes the extracted audio information to generate a base lemma for generating a scene lemma,
Generating a scene lemma using at least one of a base lemma generated through the caption information or a base lemma generated through audio information,
Expanding a scene lemma using an ontology-based lemma extension source based on the base lemma, providing the expanded scene lemma to product information searched through a product information database, and combining product information and extended scene lemma The broadcast additional information providing method.
10. The method of claim 9,
Switching one of the products to a detailed information screen for the selected product
Further comprising the steps of: delete delete delete delete delete delete delete delete delete delete
KR1020160015049A 2016-01-18 2016-02-05 Apparatus and Method for Automatically Combining Products based on Headword KR101875265B1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020160006025 2016-01-18
KR20160006025 2016-01-18

Publications (2)

Publication Number Publication Date
KR20170086383A KR20170086383A (en) 2017-07-26
KR101875265B1 true KR101875265B1 (en) 2018-07-05

Family

ID=59427070

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020160015049A KR101875265B1 (en) 2016-01-18 2016-02-05 Apparatus and Method for Automatically Combining Products based on Headword

Country Status (1)

Country Link
KR (1) KR101875265B1 (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005135148A (en) * 2003-10-30 2005-05-26 Nomura Research Institute Ltd Mail order support system and method

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20000024159A (en) * 2000-01-26 2000-05-06 정창준 Commodity sale method appearing movie or broadcasting in internet website
KR20090116508A (en) * 2008-05-07 2009-11-11 주식회사 케이티 Method and system for providing advertisement using keywords of objects in moving picture
KR101001796B1 (en) * 2008-08-28 2010-12-15 엔에이치엔비즈니스플랫폼 주식회사 Advertisement method and system using moving picture

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005135148A (en) * 2003-10-30 2005-05-26 Nomura Research Institute Ltd Mail order support system and method

Also Published As

Publication number Publication date
KR20170086383A (en) 2017-07-26

Similar Documents

Publication Publication Date Title
JP3579263B2 (en) Program data selection method and program viewing system
KR101644789B1 (en) Apparatus and Method for providing information related to broadcasting program
KR100350787B1 (en) Multimedia browser based on user profile having ordering preference of searching item of multimedia data
US9100701B2 (en) Enhanced video systems and methods
KR101382499B1 (en) Method for tagging video and apparatus for video player using the same
EP3100459B1 (en) Methods and apparatus to synchronize second screen content with audio/video programming using closed captioning data
US9602884B1 (en) Creating customized programming content
CN102833617B (en) A kind of method of simultaneous display multimedia programming satellite information, system and terminal
US20120240139A1 (en) Method and apparatus for displaying information in response to motion picture programming
CN1454430A (en) Embedding re-usable object-based product information in audiovisual programs for non-intrusive viewer driven usage
US20080184132A1 (en) Media content tagging
US20100083314A1 (en) Information processing apparatus, information acquisition method, recording medium recording information acquisition program, and information retrieval system
KR20100116412A (en) Apparatus and method for providing advertisement information based on video scene
KR20100108117A (en) Apparatus and method for generating additional information of moving picture contents
KR20050004216A (en) Presentation synthesizer
KR101927965B1 (en) System and method for producing video including advertisement pictures
US20090037387A1 (en) Method for providing contents and system therefor
KR101502984B1 (en) Method and apparatus for providing information of objects in contents and contents based on the object
TW201322740A (en) Digitalized TV commercial product display system, method, and recording medium thereof
KR101875265B1 (en) Apparatus and Method for Automatically Combining Products based on Headword
KR20140004341A (en) Audience choice type augmented broadcast service providing apparatus and method
JP5458163B2 (en) Image processing apparatus and image processing apparatus control method
WO2004098189A1 (en) Method for browsing information with set top box having tv plaza function
JP2016025570A (en) Information processor, information processing method and program
KR101930488B1 (en) Metadata Creating Method and Apparatus for Linkage Type Service

Legal Events

Date Code Title Description
E902 Notification of reason for refusal
E701 Decision to grant or registration of patent right