WO2001050296A2 - Technique publicitaire selective de trains de donnees de media - Google Patents

Technique publicitaire selective de trains de donnees de media Download PDF

Info

Publication number
WO2001050296A2
WO2001050296A2 PCT/IB2000/001915 IB0001915W WO0150296A2 WO 2001050296 A2 WO2001050296 A2 WO 2001050296A2 IB 0001915 W IB0001915 W IB 0001915W WO 0150296 A2 WO0150296 A2 WO 0150296A2
Authority
WO
WIPO (PCT)
Prior art keywords
media stream
client
stream
compπses
advertising
Prior art date
Application number
PCT/IB2000/001915
Other languages
English (en)
Other versions
WO2001050296A3 (fr
Inventor
Toni Kopra
Tapio Hameen-Anttila
Original Assignee
Nokia Corporation
Nokia Inc.
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 Nokia Corporation, Nokia Inc. filed Critical Nokia Corporation
Priority to EP00981545A priority Critical patent/EP1356387A2/fr
Priority to AU18778/01A priority patent/AU1877801A/en
Publication of WO2001050296A2 publication Critical patent/WO2001050296A2/fr
Publication of WO2001050296A3 publication Critical patent/WO2001050296A3/fr

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising

Definitions

  • the present invention relates to the field of telecommunications and more particularly, the present invention relates to a technique for selectively providing media stream advertising concurrently with and related to the media stream
  • U S Patent No 5,948,061 to Mer ⁇ man et al, entitled “Method of Delivery, Targeting, and Measu ⁇ ng Advertising Over Networks,” discloses an arrangement for the targeting of the delivery of advertisements over the Internet based on the tracking of data with regard to individual users
  • U S Patent No 5,933,81 1 to Angles et al, entitled “System and Method for Delivering Customized Advertisements Within Interactive Communication Systems," delivers customized advertisements to users on the Internet based on consumer profiles of the users
  • U S Patent No 5,999,912 to Wodarz et al , discloses a dynamic advertising scheduling, display and tracking arrangement for the Internet In the disclosed arrangement, advertisements are added to a requested web page in accordance with advertisement tag characteristics which include user based characte ⁇ stics such as age, gender, language, etc , advertisement tag selection based on the time of day or number of times that the advertisement has been selected during a specific time period, etc
  • the present invention adds advertisements to outgoing media streams, that is, audio and video streams, on the Internet, for example, and allows for the updating of these advertisements so as to be related to the content of the audio and video streams, thereby targeting the desired target group
  • a content scanner searches the video or audio stream, looking for different kinds of company logos and figures from the video and uses voice recognition or other types of technology based content parsers to glean words from the streaming audio Word recognition may also be performed if there is a text stream in the media stream.
  • the present invention integrates suitably related advertisements to the audio and video streams and forwards them to the user who is receiving the audio and video streams
  • Fig 3 illustrates an example of the content parsing server 130 of Fig 1
  • Fig 1 illustrates an example of an Internet advertising system in accordance with the present invention
  • a TV broadcast 140 or a video broadcast 150 are inputted into the content parsing server with a tuner 130 It is, of course, understood that if the video broadcast 150 is already in the form of a video data stream and an audio data stream, rather than being a radio frequency signal, the content parsing server with tuner 130 does not in fact need a tuner
  • the content parsing server 130 scans the content of the video and audio data streams inputted thereto and based on the scanned content, adds advertising to the content p ⁇ or to forwarding the video and audio data streams to the web server 120
  • the web server 120 properly formats the video and audio data streams and forwards them to a client's computer 100
  • the web server may be connected to the client computer 100 via the Internet or via a LAN (local area network) or WAN (wide area network) or intranet network, etc
  • the content parsing server 130 includes the tuner 310 which, as noted above, may or may not be necessary depending upon the source of the audio and video data streams
  • the output of the tuner 310 or the audio and video data streams 330 and 340 and optionally a text data stream 320 are inputted to a contents scanner 350
  • the contents scanner 350 may use voice recognition to determine the content of the audio data stream or may use video analysis engines for recognizing specific video images or may use other data recognition techniques, e g . word recognition, for scanning the text data stream 320, if available.
  • the audio and video data streams may optionally be tagged or marked with some type of markup language or can contain some other meta data to reveal the content of the stream
  • the configuration of the contents scanner 350 would of course depend upon the content and format of the video and audio and text data streams In view of the fact that video and audio data stream contents scanners are commercially available products (for example, the products of Excahbur Technologies, Mediasite and Virage), a detailed desc ⁇ ption of the configuration of the contents scanner 350 has been omitted for the sake of brevity
  • the advertising page generator 360 includes a list of advertising pages stored therein along with a co ⁇ esponding list of contents related to each advertising page It does not actually generate the advertising page but rather provides the advertising page or information already stored therein
  • the advertising page generator 360 includes an advertising page for an automobile manufacturer, any content detected by the contents scanner 350 which includes automobiles would cause the advertising page generator 360 to add the automobile advertising page to the video and audio data streams Similarly if the contents scanner 350 detects content with regard to flowers, the advertising page generator 360 might add an advertising page for either a garden implement manufacturer or a nationwide floral deln ery service Any content detected by the contents scanner which includes NOKIA text or voice would cause the advertising page generator 360 to add the NOKIA advertising page to the video and audio data streams Then the NOKIA advertising page may contain information of the recently published new terminals, e g , 71 10 etc The advertising page can be added to the video stream or it can stop video stream transmission in order to view the advertisement An advertising page 370 is generated based on the content data The ⁇ ght banner picture is queried from a database and ret ⁇ eved from a file system Instead of using a single database, one can also use XML (extensible markup language) and XSL (ext
  • the web server 120 receives an automatically generated HTML (hyper text markup language) file from the advertising page generator 360 (which may be implemented with Java Servlets or ASP (active server page) or other service side technology with is sent over HTTP to the client computer 100
  • HTML hyper text markup language
  • ASP active server page
  • Some type of push technology, e g , RMI a remote method invocation), receiver applet, live connection and java sc ⁇ pt, must be used so that the client gets the ⁇ ght advertising banner ⁇ ght after the key content of the video and audio data stream has been detected
  • Fig 2 is a flowchart of an example of the operation of an embodiment of the present invention
  • the content parsing server receives a media stream, which may consist of a video stream and an audio stream, in Step 210
  • a determination is made as to whether or not the media stream (consisting of the video stream and audio stream) has been tagged, e g . with some kind of markup language or some other meta data that re ⁇ eals the content of the media stream
  • Step 230 the technique proceeds to Step 230 in which the tag is recognized and the relevant content data extracted from the tag
  • Step 240 voice and/or pattern recognition on the media stream is effected to extract relative content data
  • voice and/or pattern recognition on the media stream is effected to extract relative content data
  • the extracted relevant content data is compared with stored advertising content to determine if there is a match That is, is there a suitable advertising banner to be added with the currently transmitted media stream to provide targeted advertising to the client computer presently receiving the media stream
  • Step 260 m which the relevant advertising page or banner corresponding to the extracted content data is generated
  • Step 270 the generated advertising page or banner is forwarded to the web server to be combined with the cu ⁇ ent media stream to thereby provide the targeted advertising to the client computer
  • Step 210 The flow then returns to Step 210 to continue to receive the media stream and perform the above noted functions continuously
  • a video stream can be recen ed and if the video stream is determined to contain predetermined advertisement information, then the receiving of the video stream is stopped and the advertisement corresponding to the predetermined advertisement information is transmitted to the client where it is displayed on the display of the client After a predetermined period of time, the advertisement is no longer transmitted to the client and shown on the client ' s display but rather, the client then receives the video stream and displays it on the display of the client as before

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  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Information Transfer Between Computers (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Television Systems (AREA)

Abstract

L'invention concerne une technique permettant de présenter de manière sélective des publicités sur des trains de données de médias, qui consiste à recevoir un train de données de média composé d'au moins un train de données vidéo, un train de données audio et un train de données texte. Si le train de données de média est étiqueté, l'étiquette est reconnue et on en extrait des données de contenu pertinentes. Par ailleurs, si le train de données de média n'a pas été étiqueté, on exécute au moins une reconnaissance vocale, une reconnaissance de formes ou une reconnaissance de mot afin d'extraire les données de contenu pertinentes. Ces données de contenu extraites sont comparées au contenu publicitaire stocké afin de déterminer leur correspondance. Dans l'affirmative, une page publicitaire pertinente correspondant au contenu publicitaire stocké est créée et ajoutée au train de données de média avant de transmettre ce dernier à un client.
PCT/IB2000/001915 1999-12-30 2000-12-20 Technique publicitaire selective de trains de donnees de media WO2001050296A2 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP00981545A EP1356387A2 (fr) 1999-12-30 2000-12-20 Technique publicitaire selective de trains de donnees de media
AU18778/01A AU1877801A (en) 1999-12-30 2000-12-20 Selective media stream advertising technique

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US47503599A 1999-12-30 1999-12-30
US09/475,035 1999-12-30

Publications (2)

Publication Number Publication Date
WO2001050296A2 true WO2001050296A2 (fr) 2001-07-12
WO2001050296A3 WO2001050296A3 (fr) 2003-08-07

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2000/001915 WO2001050296A2 (fr) 1999-12-30 2000-12-20 Technique publicitaire selective de trains de donnees de media

Country Status (4)

Country Link
EP (1) EP1356387A2 (fr)
CN (1) CN100390823C (fr)
AU (1) AU1877801A (fr)
WO (1) WO2001050296A2 (fr)

Cited By (16)

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WO2008033944A2 (fr) * 2006-09-12 2008-03-20 Google Inc. Utilisation de signaux de visualisation dans des publicités vidéo ciblées
EP1958139A1 (fr) * 2005-11-30 2008-08-20 Microsoft Corporation Affichage selectif de publicites pour contenu multimedia
EP1977597A2 (fr) * 2005-12-30 2008-10-08 Google, Inc. Publicite amelioree avec creations de publicite video
WO2009036392A2 (fr) * 2007-09-14 2009-03-19 Microsoft Corporation Correspondance de pertinence multimodale
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EP2176821A2 (fr) * 2007-06-27 2010-04-21 Google, Inc. Ciblage de publicité en vidéo
US8190479B2 (en) 2008-02-01 2012-05-29 Microsoft Corporation Video contextual advertisements using speech recognition
CN102999583A (zh) * 2012-11-14 2013-03-27 上海量明科技发展有限公司 流媒体交互框加载数据的方法及系统
AU2011203560B2 (en) * 2005-12-30 2013-05-02 Google Llc Improved advertising with video ad creatives
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US8667532B2 (en) * 2007-04-18 2014-03-04 Google Inc. Content recognition for targeting video advertisements
US9064024B2 (en) 2007-08-21 2015-06-23 Google Inc. Bundle generation
US9087331B2 (en) 2007-08-29 2015-07-21 Tveyes Inc. Contextual advertising for video and audio media
US9824372B1 (en) 2008-02-11 2017-11-21 Google Llc Associating advertisements with videos
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CN101246491B (zh) * 2008-03-11 2014-11-05 孟智平 一种在网页中使用描述文件的方法和系统
WO2009124004A1 (fr) * 2008-03-31 2009-10-08 Dolby Laboratories Licensing Corporation Association d'informations à un contenu multimédia en utilisant des objets identifiés dans celui-ci
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CN102760270A (zh) * 2011-04-26 2012-10-31 珠海德百祺科技有限公司 向移动终端定向推送广告的方法及服务器
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CN102523533A (zh) * 2011-11-30 2012-06-27 江苏奇异点网络有限公司 视频内容关联的在线视频广告管理方法
CN103297811A (zh) * 2012-02-24 2013-09-11 北京明日时尚信息技术有限公司 一种智能嵌入式视频广告的实现方法
CN104581430B (zh) * 2013-10-21 2018-06-19 华为技术有限公司 视频播放中的广告插播方法和设备
CN104882146B (zh) * 2015-05-12 2018-05-15 北京音之邦文化科技有限公司 音频推广信息的处理方法及装置
WO2017128406A1 (fr) * 2016-01-31 2017-08-03 胡明祥 Procédé permettant d'acquérir des données concernant la technologie de transfert de publicité, et système de transfert
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Cited By (39)

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US8542680B2 (en) * 2001-07-25 2013-09-24 Vectormax Corporation Server arbitrated reliable multicast system and process for accessing the same
EP1958139A4 (fr) * 2005-11-30 2012-05-09 Microsoft Corp Affichage selectif de publicites pour contenu multimedia
EP1958139A1 (fr) * 2005-11-30 2008-08-20 Microsoft Corporation Affichage selectif de publicites pour contenu multimedia
US10706444B2 (en) 2005-12-30 2020-07-07 Google Llc Inserting video content in multi-media documents
US10949895B2 (en) 2005-12-30 2021-03-16 Google Llc Video content including content item slots
US11587128B2 (en) 2005-12-30 2023-02-21 Google Llc Verifying presentation of video content
US11403677B2 (en) 2005-12-30 2022-08-02 Google Llc Inserting video content in multi-media documents
US11403676B2 (en) 2005-12-30 2022-08-02 Google Llc Interleaving video content in a multi-media document using keywords extracted from accompanying audio
EP1977597A4 (fr) * 2005-12-30 2011-06-15 Google Inc Publicite amelioree avec creations de publicite video
EP1977597A2 (fr) * 2005-12-30 2008-10-08 Google, Inc. Publicite amelioree avec creations de publicite video
US10108988B2 (en) 2005-12-30 2018-10-23 Google Llc Advertising with video ad creatives
US10891662B2 (en) 2005-12-30 2021-01-12 Google Llc Advertising with video ad creatives
AU2011203560B2 (en) * 2005-12-30 2013-05-02 Google Llc Improved advertising with video ad creatives
US10679261B2 (en) 2005-12-30 2020-06-09 Google Llc Interleaving video content in a multi-media document using keywords extracted from accompanying audio
WO2008033944A3 (fr) * 2006-09-12 2008-07-31 Google Inc Utilisation de signaux de visualisation dans des publicités vidéo ciblées
WO2008033944A2 (fr) * 2006-09-12 2008-03-20 Google Inc. Utilisation de signaux de visualisation dans des publicités vidéo ciblées
US8667532B2 (en) * 2007-04-18 2014-03-04 Google Inc. Content recognition for targeting video advertisements
US10748182B2 (en) 2007-06-27 2020-08-18 Google Llc Device functionality-based content selection
US11210697B2 (en) 2007-06-27 2021-12-28 Google Llc Device functionality-based content selection
US11915263B2 (en) 2007-06-27 2024-02-27 Google Llc Device functionality-based content selection
US10032187B2 (en) 2007-06-27 2018-07-24 Google Llc Device functionality-based content selection
US9697536B2 (en) 2007-06-27 2017-07-04 Google Inc. Targeting in-video advertising
EP2176821A2 (fr) * 2007-06-27 2010-04-21 Google, Inc. Ciblage de publicité en vidéo
US8661464B2 (en) 2007-06-27 2014-02-25 Google Inc. Targeting in-video advertising
EP2176821A4 (fr) * 2007-06-27 2013-05-22 Google Inc Ciblage de publicité en vidéo
US9064024B2 (en) 2007-08-21 2015-06-23 Google Inc. Bundle generation
US9087331B2 (en) 2007-08-29 2015-07-21 Tveyes Inc. Contextual advertising for video and audio media
WO2009036392A3 (fr) * 2007-09-14 2009-05-22 Microsoft Corp Correspondance de pertinence multimodale
WO2009036392A2 (fr) * 2007-09-14 2009-03-19 Microsoft Corporation Correspondance de pertinence multimodale
US9980016B2 (en) 2008-02-01 2018-05-22 Microsoft Technology Licensing, Llc Video contextual advertisements using speech recognition
US8190479B2 (en) 2008-02-01 2012-05-29 Microsoft Corporation Video contextual advertisements using speech recognition
US9824372B1 (en) 2008-02-11 2017-11-21 Google Llc Associating advertisements with videos
US20100036906A1 (en) * 2008-08-05 2010-02-11 Google Inc. Advertisements for streaming media
US10489452B2 (en) 2011-12-31 2019-11-26 Interdigital Madison Patent Holdings, Sas Method and device for presenting content
US10078690B2 (en) 2011-12-31 2018-09-18 Thomson Licensing Dtv Method and device for presenting content
CN102999583A (zh) * 2012-11-14 2013-03-27 上海量明科技发展有限公司 流媒体交互框加载数据的方法及系统
US11272228B2 (en) 2016-06-30 2022-03-08 SnifferCat, Inc. Systems and methods for dynamic stitching of advertisements in live stream content
US11528515B2 (en) 2016-06-30 2022-12-13 SnifferCat, Inc. Systems and methods for dynamic stitching of advertisements in live stream content
US11917219B2 (en) 2016-06-30 2024-02-27 SnifferCat, Inc. Systems and methods for dynamic stitching of advertisements in live stream content

Also Published As

Publication number Publication date
WO2001050296A3 (fr) 2003-08-07
CN1582444A (zh) 2005-02-16
EP1356387A2 (fr) 2003-10-29
CN100390823C (zh) 2008-05-28
AU1877801A (en) 2001-07-16

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