WO2007064641A2 - Social and interactive applications for mass media - Google Patents

Social and interactive applications for mass media Download PDF

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Publication number
WO2007064641A2
WO2007064641A2 PCT/US2006/045551 US2006045551W WO2007064641A2 WO 2007064641 A2 WO2007064641 A2 WO 2007064641A2 US 2006045551 W US2006045551 W US 2006045551W WO 2007064641 A2 WO2007064641 A2 WO 2007064641A2
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WO
WIPO (PCT)
Prior art keywords
descriptors
rating
determining
media broadcast
descriptor
Prior art date
Legal status (The legal status 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 status listed.)
Ceased
Application number
PCT/US2006/045551
Other languages
English (en)
French (fr)
Other versions
WO2007064641A3 (en
Inventor
Michael Fink
Shumeet Baluja
Michele Covell
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Google LLC
Original Assignee
Google LLC
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
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=38092724&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=WO2007064641(A2) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Priority to ES06838488T priority Critical patent/ES2386977T3/es
Priority to CA2631151A priority patent/CA2631151C/en
Priority to JP2008543391A priority patent/JP2009518884A/ja
Priority to CN200680044650.XA priority patent/CN101517550B/zh
Priority to BRPI0619388-9A priority patent/BRPI0619388A2/pt
Application filed by Google LLC filed Critical Google LLC
Priority to EP06838488A priority patent/EP1955458B1/en
Priority to KR1020087015739A priority patent/KR101371574B1/ko
Priority to AU2006320693A priority patent/AU2006320693B2/en
Publication of WO2007064641A2 publication Critical patent/WO2007064641A2/en
Anticipated expiration legal-status Critical
Publication of WO2007064641A3 publication Critical patent/WO2007064641A3/en
Ceased legal-status Critical Current

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Classifications

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    • H04H—BROADCAST COMMUNICATION
    • H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/61—Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
    • H04H60/65—Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54 for using the result on users' side
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04H—BROADCAST COMMUNICATION
    • H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/61—Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
    • H04H60/66—Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54 for using the result on distributors' side
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04H—BROADCAST COMMUNICATION
    • H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/76—Arrangements characterised by transmission systems other than for broadcast, e.g. the Internet
    • H04H60/78—Arrangements characterised by transmission systems other than for broadcast, e.g. the Internet characterised by source locations or destination locations
    • H04H60/80—Arrangements characterised by transmission systems other than for broadcast, e.g. the Internet characterised by source locations or destination locations characterised by transmission among terminal devices
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04H—BROADCAST COMMUNICATION
    • H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/76—Arrangements characterised by transmission systems other than for broadcast, e.g. the Internet
    • H04H60/81—Arrangements characterised by transmission systems other than for broadcast, e.g. the Internet characterised by the transmission system itself
    • H04H60/82—Arrangements characterised by transmission systems other than for broadcast, e.g. the Internet characterised by the transmission system itself the transmission system being the Internet
    • H04H60/87—Arrangements characterised by transmission systems other than for broadcast, e.g. the Internet characterised by the transmission system itself the transmission system being the Internet accessed over computer networks
    • 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
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/462—Content or additional data management e.g. creating a master electronic programme guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
    • H04N21/4622—Retrieving content or additional data from different sources, e.g. from a broadcast channel and the Internet

Definitions

  • Mass media channels e.g., television and radio broadcasts
  • the viewer's television is connected to the set-top box,
  • nd hoc social peer community e.g., a discussion group, chat room,
  • a method includes: receiving a descriptor
  • a method includes: receiving a first
  • a method includes: detecting ambient audio
  • a system includes a database of reference
  • a database server is operatively coupled to the database and to a client
  • the database server is configurable to receive a descriptor from the client
  • a system includes an audio detector
  • a client interface is operatively coupled
  • the client interface is configurable for transmitting the descriptors to a network resource, and for receiving aggregated personalized information from the
  • a method includes: receiving descriptors
  • a method includes: generating descriptors
  • a method includes: recording ambient audio
  • a system includes a database of reference
  • a server is operatively coupled to the database and to a client system.
  • the server is configurable to receive a descriptor from the client system for
  • a system includes an audio detector
  • a client interface is operatively coupled to the audio detector and configurable to generate descriptors identifying a media
  • the client interface is configurable for transmitting the descriptors to a
  • FIG. 1 is a block diagram of one embodiment of a mass personalization
  • FIG. 2 illustrates one embodiment of an ambient-audio identification
  • FIG. 3 is a flow diagram of one embodiment of a process for providing
  • FIG. 4 is a flow diagram of one embodiment of an audio fingerprinting
  • FIG. 5 is a flow diagram of one embodiment of a user interface for
  • FIG. 6 is a block diagram of one embodiment of hardware architecture
  • FIG. 7 is a flow diagram of one embodiment of a repetition detection
  • Mass personalization applications provide personalized and personalized
  • interactive information related to mass media broadcasts e.g., television, radio,
  • Such applications include but are not limited to:
  • Personalized information layers provide complementary information
  • personalized information layers include
  • personalized layers may include
  • Ad hoc social peer communities provide a venue for commentary
  • a commenting medium e.g., a chat room, message board, wild page, video link, etc.
  • a commenting medium e.g., a chat room, message board, wild page, video link, etc.
  • Real-time popularity ratings provide content providers and users
  • Video or audio bookmarks provide users with low effort ways of
  • a button on a computer or a remote control device can simply press a button on a computer or a remote control device and a
  • the snippet can be used as a bookmark to refer to the
  • the bookmark can be any type of program, or portions of the program, for later viewing.
  • the bookmark can be any type of program, or portions of the program, for later viewing.
  • the bookmark can be any type of program, or portions of the program, for later viewing.
  • FIG. 1 is a block diagram of a mass personalization system 100 for
  • the system 100 includes one or more
  • client-side interfaces 102 an audio database server 104 and a social application
  • a server 106 all of which communicate over a network 108 (e.g., the Internet, an
  • a client interface 102 can be any device that allows a user to enter and
  • a user interface on a display device, including but not limited to: a desktop or portable computer; an electronic
  • a telephone a mobile phone
  • a display system a television; a computer
  • PDA personal digital assistant
  • game console a game console
  • handheld electronic device a handheld electronic device
  • the client interface 102 is described more fully with
  • the client-interface 102 includes an ambient
  • audio detector e.g., a microphone for monitoring and recording the ambient audio
  • a mass media broadcast in a broadcast environment e.g., a user's living room.
  • One or more ambient audio segments or "snippets” are converted into distinctive
  • audio fingerprints or
  • the descriptors are compressed files
  • Ke et al is adapted to generate descriptors for
  • retrieval process includes the following steps: 1) given the audio spectra of an audio
  • top-t wavelets use min-hash to create a sub-fingerprint of the top-t wavelets; 6)
  • the audio database server 104 compares the
  • the audio database server 104 continuously updates the audio database 110 to the audio database server 104.
  • the audio database server 104 determines the best matches between
  • the social application server 106 accepts
  • the social application server 106 aggregates personalized
  • the personalized information can include but is not limited to:
  • commenting medium e.g., ad hoc social peer
  • the personalized information can be used to
  • chat rooms can be created by directly comparing
  • chat rooms can be created around viewers having matching descriptors.
  • the social application server 106 serves a
  • the social application server 106 also receives the user id from the client-side
  • the system 100 can include multiple audio databases 110,
  • audio database servers 104 and/ or social application servers 106 may be included in the audio database servers 104 and/ or social application servers 106.
  • social application servers 106 may be included in the audio database servers 104 and/ or social application servers 106.
  • audio database server 104 and the social application server 106 can be a single server
  • the network 108 can
  • Client-server e.g., copper, optical fiber, radio frequencies, etc.
  • mediums e.g., copper, optical fiber, radio frequencies, etc.
  • FIG. 2 illustrates an ambient audio identification system 200, including
  • the system 200 includes a mass media
  • system 202 e.g., a television set, radio, computer, electronic device, mobile phone,
  • an ambient audio detector 204 a client-side
  • the client-side interface 102 includes a display device
  • UI 210 for presenting a user interface (UI) 208 for enabling a user to interact with a mass
  • the mass media system 202 In operation, the mass media system 202 generates ambient audio of a
  • mass media broadcast e.g., television audio
  • the ambient audio detector 204 can be any device that can
  • the detected ambient audio is encoded
  • the client-side interface 102 by the client-side interface 102 to provide descriptors identifying the ambient audio.
  • the descriptors are transmitted to the audio database server 104 by way of the
  • client software running at the client-side is client software running at the client-side
  • interface 102 continually monitors and records 7i-second (e.g., 5 second) audio files
  • snippets of ambient audio.
  • the snippets are then converted into m-frames (e.g.,
  • the monitoring and recording is event based.
  • the monitoring and recording can be
  • the monitoring and recording can be initiated in response to user input (e.g., a
  • the ambient audio is encoded using a control device (e.g., a remote control, etc.).
  • a control device e.g., a remote control, etc.
  • the ambient audio is encoded using a
  • the client software runs as a "side bar" or
  • the ambient audio sampling can start immediately and run in the "background"
  • the ambient audio sampling can begin when
  • the client-side interface 102 is booted or when the viewer logs into a service or
  • the descriptors are sent to the audio database server 104. In some embodiments,
  • the descriptors are compressed statistical summaries of the
  • the descriptors can be encrypted for extra privacy and security
  • the descriptors are sent to the audio
  • database server 104 as a query submission (also referred to as a query descriptor) in response to a trigger event detected by the monitoring process at the client-side
  • a trigger event could be the opening theme of a
  • the query descriptors can be sent to the audio
  • database server 104 as part of a continuous streaming process.
  • the query descriptors can be transmitted to the audio database
  • server 104 in response to user input (e.g., via remote control, mouse clicks, etc.).
  • FIG. 3 is a flow diagram a mass personalization process 300. The steps
  • process 300 do not have to be completed in any particular order and at least some
  • steps can be performed at the same time in a multi-threading or parallel processing
  • the process 300 begins when a client-side interface (e.g., client-side
  • interface 102 monitors and records snippets of ambient audio of a mass media
  • descriptors e.g., compressed statistical summaries
  • the audio database server (304) as queries.
  • the audio database server
  • the candidate descriptors are sent to a social application server or
  • personalized information for the user For example, if the user is watching the television show "Seinfeld," then query descriptors generated from the show's
  • the matching procedure is
  • hashing techniques e.g., direct hashing or locality
  • LSH sensitive hashing
  • the candidate descriptors are then processed in a validation
  • query descriptors from different viewers are
  • real-time and aggregate statistics are
  • Statistics can include but are not limited to: 1) the average number of viewers watching the broadcast; 2) the average number of
  • one or more popularity ratings can be determined.
  • the statistics used to generate popularity ratings can be generated
  • the counters can be intersected with demographic group data or
  • the popularity ratings can be used by viewers to "see
  • statistics include but are not limited to: popularity of a television broadcast versus a
  • radio broadcast by demographics or time, the popularity of times of day, i.e., peak
  • the personalized information is sent to the client-side interface (312).
  • the popularity ratings can also be stored in a database for use by other processes
  • the personalized information can be
  • commenting medium e.g., text messages in a chat room
  • a chat room can
  • the raw information e.g., counter values
  • the raw information can be
  • a broadcast measurement box (BMB) is
  • the BMB can be a simple hardware device that
  • BMB can be installed near the mass media system or within the range of the
  • the BMB automatically records audio snippets and generates descriptors, which are stored in memory (e.g., flash media).
  • the BMB can optionally include one or more hardware
  • buttons which can be pressed by a user to indicate which broadcast they are
  • the BMB device can be picked-up by the
  • connection e.g., telephone, Internet, wireless radio, such as SMS/ carriers radio, etc.
  • advertisements can be monitored to
  • an image capture device e.g., digital camera
  • the images and or data derived from the images can be used in any way.
  • the images and or data derived from the images can be used in any way.
  • FIG. 4 is a flow diagram of audio fingerprinting process 400. The steps
  • process 400 do not have to be completed in any particular order and at least some steps can be performed at the same time in a multi-threading or parallel processing
  • the process 400 matches query descriptors generated at a client-side
  • client-side interface 102 to reference descriptors stored in one or
  • the process 400 adapts a
  • Ke et al. to handle ambient audio data (e.g., from a television
  • the process 400 begins at a client-side interface by decomposing
  • ambient audio snippets e.g., 5-6 seconds of audio
  • an ambient audio detector e.g., microphone
  • the frames are spaced apart by several milliseconds
  • Each frame is converted into a descriptor (e.g., a 32-bit
  • each descriptor represents an identifying
  • the descriptors can be sent as query snippets
  • candidate descriptors having best matches can be determined (408). The candidate
  • descriptors can be scored, such that candidate descriptors that are temporally
  • the candidate descriptors with the highest scores e.g., score exceeds a sufficiently high threshold
  • the database of reference descriptors can be any suitable reference descriptors.
  • descriptors can also be generated using television guides or other metadata and/or
  • speech recognition technology can be used
  • recognition technology could be used to recognize keywords (e.g., Shuttle, launch,
  • Ke et al. uses computer vision techniques to find highly discriminative
  • the filters localize changes in the spectrogram magnitude, using first and
  • the outputs of these 32 filters are thresholds
  • examples e.g., matching frames
  • have small Hamming distances i.e., distance
  • filters can be used and more than one bit per filter can be used at each audio frame
  • descriptor might have many frames matched to the query descriptor but with the
  • validation is achieved by viewing each
  • interference-only states as a hidden first-order Markov process, with transition
  • post-match filtering is used to handle these events
  • the server 106 selects either the content-index match
  • Mo is the match that is used by the social application server 106 for selecting
  • FIG. 5 is a flow diagram of one embodiment of a user interface 208 for
  • the user interface 208 includes a
  • layer display area 502 provides complementary information and/ or images related
  • a navigation bar 510 can be navigated using a navigation bar 510 and an input device (e.g., a mouse or
  • Each layer has an associated label in the navigation bar 510.
  • the client-side interface 102 includes a
  • display device 210 capable of presenting the user interface 208.
  • the user interface 208 is an interactive web page served by the user interface 208 .
  • social application server 106 and presented in a browser window on the screen of
  • the user interface 208 is persistent and will be available for interaction after the broadcast audio used in the content
  • the user interface 208 may display the match process has shifted in time.
  • the user interface 208 may display the match process has shifted in time.
  • a trigger event e.g., a new
  • the sponsored links display area 506 can be updated with
  • links can be emailed to the viewer or shown on a side bar at a later time.
  • the client-side interface 102 receives
  • ⁇ can include a web page, email, a message board, links, instant message, a chat room,
  • voice call e.g., Skype®
  • voice call e.g., Skype®
  • interface 208 provides access to comments and/ or links to comments from
  • the display area 502 includes a rating region
  • the display area 512 may show how many viewers are currently watching "Seinfeld"
  • the commenting medium display area 504 is the commenting medium display area 504
  • the display area 504 includes a text box 514
  • the sponsored links display area 506 includes information, images
  • one of the links 518 may take the user to a web site that is selling
  • the content display area 508 is where the broadcast content is
  • a scene from the current broadcast can be displayed with
  • the display area 508 includes controls 520 (e.g., scroll buttons) for
  • a button 522 is included in the content
  • this streaming service can provide free single-viewing playback
  • FIG. 6 is block diagram of hardware architecture 600 for the client-side
  • computing device e.g., a personal computer
  • the disclosed implementations can be
  • desktop or portable computers including but not limited to: desktop or portable computers; electronic devices;
  • the system 600 includes one or more
  • processors 602 e.g., CPU
  • display devices 604 e.g., CRT
  • USB USB, Ethernet, FireWire® ports, etc.
  • input devices 610 e.g., USB, Ethernet, FireWire® ports, etc.
  • buses 614 e.g., EISA, PCI,
  • USB USB, FireWire®, NuBus, PDS, etc.
  • sampling and encoding e.g., generating
  • non-volatile media e.g., optical or magnetic disks
  • volatile media e.g., optical or magnetic disks
  • Transmission media includes,
  • the computer-readable medium(s) 612 further includes an operating
  • communications module 618 client software 620 and one or more applications 622.
  • the operating system 616 can be multi-user, multiprocessing, multitasking,
  • the operating system 616 performs basic
  • peripheral devices e.g., disk drives, printers, image
  • the network communications module 618 includes various components
  • components 'for establishing and maintaining network connections e.g., software
  • the client software 620 provides various software components for
  • the processes can be at least partially implemented
  • Other applications 624 can include any other software application,
  • word processors including but not limited to: word processors, browsers, email, Instant Messaging,
  • the process 700 described below provides a way of detecting
  • a summary is to be made of a narrative program (e.g. a
  • FIG. 7 is a flow diagram of one embodiment of a repetition detection
  • process 700 in accordance. The steps of process 700 do not have to be completed in
  • the process 700 begins by creating a database of audio statistics from a
  • set of content such as television feeds, video uploads, etc. (702).
  • the content such as television feeds, video uploads, etc. (702).
  • a short segment of audio statistics is taken as
  • hashing techniques e.g. direct hashing or locality sensitive hashing (LSH)
  • corresponding to a validated candidate match can be identified as repeating content
  • the transition probability from matching to not matching to 1/L can be set
  • the audio cues are combined with non-
  • auditory information e.g., visual cues
  • the matches that are found with audio matching can then be verified (or
  • color histograms e.g., frequencies of
  • durations e.g., 10/15/30-second spots are common
  • volume e.g., advertisements tend to be louder than surrounding program material
  • advertisements can be analyzed and statistics can be generated. For example,
  • a particular creative e.g., images, text
  • how many times a particular creative e.g., images, text
  • one or more old advertisements can
  • video statistics can be used to
  • advertisers can participate in auctions
  • acoustic or visual properties e.g., "background music,” “conversational voices,”
  • one or more mass personalization are provided.
  • applications can. be run in the background while the user performs other tasks such
  • media broadcast e.g., television content
  • media broadcast e.g., television content
  • auctions as material that is related to another content source e.g., web site content.
  • TV related ads can be mixed with ads that correspond to the content of

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PCT/US2006/045551 2005-11-29 2006-11-27 Social and interactive applications for mass media Ceased WO2007064641A2 (en)

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AU2006320693A AU2006320693B2 (en) 2005-11-29 2006-11-27 Social and interactive applications for mass media
CA2631151A CA2631151C (en) 2005-11-29 2006-11-27 Social and interactive applications for mass media
JP2008543391A JP2009518884A (ja) 2005-11-29 2006-11-27 マスメディアのソーシャル及び相互作用的なアプリケーション
CN200680044650.XA CN101517550B (zh) 2005-11-29 2006-11-27 大众传媒的社会性和交互式应用
BRPI0619388-9A BRPI0619388A2 (pt) 2005-11-29 2006-11-27 aplicações sociais e interativas para mìdia de massa
ES06838488T ES2386977T3 (es) 2005-11-29 2006-11-27 Aplicaciones sociales e interactivas para medios masivos
EP06838488A EP1955458B1 (en) 2005-11-29 2006-11-27 Social and interactive applications for mass media
KR1020087015739A KR101371574B1 (ko) 2005-11-29 2006-11-27 매스 미디어를 위한 사회적 및 상호작용 애플리케이션

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KR20080075896A (ko) 2008-08-19
US8442125B2 (en) 2013-05-14
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US20070124756A1 (en) 2007-05-31
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US20070130580A1 (en) 2007-06-07
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US20070143778A1 (en) 2007-06-21
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US8700641B2 (en) 2014-04-15
US20120059845A1 (en) 2012-03-08
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US20170366847A1 (en) 2017-12-21
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US20150156542A1 (en) 2015-06-04
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EP1986145A1 (en) 2008-10-29

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