[go: up one dir, main page]

WO2016085414A1 - Procédé pour diminuer la baisse de visualisation de chaînes durant des pauses publicitaires et une connexion - Google Patents

Procédé pour diminuer la baisse de visualisation de chaînes durant des pauses publicitaires et une connexion Download PDF

Info

Publication number
WO2016085414A1
WO2016085414A1 PCT/SK2015/000005 SK2015000005W WO2016085414A1 WO 2016085414 A1 WO2016085414 A1 WO 2016085414A1 SK 2015000005 W SK2015000005 W SK 2015000005W WO 2016085414 A1 WO2016085414 A1 WO 2016085414A1
Authority
WO
WIPO (PCT)
Prior art keywords
server
content
watching
mobile platform
commercial breaks
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/SK2015/000005
Other languages
English (en)
Inventor
Lujza BUBÁNOVÁ
Martin FLOREK
Martin KRAVEC
Boris ŠEBOŠIK
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.)
John Smith SRO
Original Assignee
John Smith SRO
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
Priority claimed from SK50070-2014A external-priority patent/SK500702014A3/sk
Application filed by John Smith SRO filed Critical John Smith SRO
Publication of WO2016085414A1 publication Critical patent/WO2016085414A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

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]
    • H04N21/40—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
    • H04N21/458—Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations
    • 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
    • H04H60/29—Arrangements for monitoring broadcast services or broadcast-related services
    • H04H60/33—Arrangements for monitoring the users' behaviour or opinions
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/233—Processing of audio elementary streams
    • 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
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/414—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
    • H04N21/41407—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance embedded in a portable device, e.g. video client on a mobile phone, PDA, laptop
    • 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
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • 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
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/42203—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS] sound input device, e.g. microphone
    • 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
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/439—Processing of audio elementary streams
    • H04N21/4394—Processing of audio elementary streams involving operations for analysing the audio stream, e.g. detecting features or characteristics in audio streams
    • 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
    • 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

Definitions

  • the invention relates to the method to lower decline in watch ing channels du ring commercial breaks and a connection to this method .
  • the invention falls within the telecommunication and advertising technology.
  • Shazam analyzes the sound in which it finds significant features which are not affected even by strong noise and other various damages to the signal such as lossy audio compression of MP3 type or a poor-quality recording hardware. Such features are e.g. loud tones. Upon detection of these features also advanced methods of processing audio data such as cepstral analysis are used . A comparison of these features would be very slow and therefore they are not compared directly, but hashes are generated from these features. These hashes are generated from combinations of features (audio frequencies on which they are situated) and their distances from each other in time. In this manner manifold more hashes than features alone are generated, whereby the situations from damaged signals are well treated. Equal samples are used also to create a database of songs in which samples recorded by a mobile device are then searched. A comparison of hashes is very fast and therefore they are able to search in a database with millions of songs created in advance. Currently, Shazam recognizes also some selected TV shows.
  • Soundhoud described in published patent application US 2013/ 0044885 is the second most widely spread music recognition service.
  • Shazam are based on digital fingerprints generated from the recorded audio sample. These fingerprints are generated from robust features which are not affected by noise or other damages of the signal.
  • no hashes are generated from these features, but matrices which capture a relationship between the most striking feature and the second and third most striking feature in the recorded sample. These matrices are then continuously sent to the server which compares them with matrices in a database of samples of songs created in advance. The songs in the database have also more than one matrix assigned to them which describes them.
  • Mufin is a service which recognizes the live broadcast on selected television channels. In addition to recognition of a show and TV channel they can recognize also advertising. They use their own d igital audio imprint "Audiol D" and try to find and encode features in the sound which are not affected by various damages. Furthermore, in the published patent applications US2014/0188592 and US2014/0012572 addition of extra data to the recognized sound is described, e.g. of relevant advertising.
  • a company Blue Spike which e.g. on the basis of a patent US 7,346,472 creates an abstract from the music sample which it compares then with a database of abstracts with a result which song it is.
  • the method may be software-implemented generally to digital data and is not limited to sound data.
  • an alert to the current moment of broadcasting of advertising spot foregoes together with performance metrics of the given spot.
  • aggregated relevant contents on social networks enter mobile platform in addition to sending special content to the television advertising .
  • the system connection to lower decline in watching channels during commercial breaks is based on the above stated method and consists of a sampling server with input from sources of broadcasting TV signals. Furthermore, it consists of a content server which is by a wireless bidirectional connection connected with a mobile platform with a control application .
  • the mobile platforms of application users are smartphones, notebooks, laptops, tablets and similar devices activated in a data network such as mobile internet or in a mobile network, e .g . GSM .
  • There is a recognition server which is connected with sampling server and also with content server.
  • the content server contains at least the first information block with special content to television advertising and advantageously contains also the second information block with aggregated relevant contents on social networks which fill the content database.
  • the content server contains also a request server and has an input for a generator of external signals of TV broadcasters.
  • the sampling server contains a generator of descriptors of the source data.
  • the recognition server contains e.g . an indexing server and a comparator with a database of ind ices.
  • the functionality of the connection is as follows.
  • the basis of the recognition algorithm is input data.
  • an external device a mobile phone, mobile platform
  • the sample is used for the recognition and the data from the sampling server is used as a reference sample in which a sample from an external device is searched .
  • the sample is processed in the following manner.
  • Gross input data from the data stream is processed by STFT (Short-time Fourier transform) algorithm .
  • STFT Short-time Fourier transform
  • This processing creates a matrix of normalized data energies.
  • the coord inates of these points together with the processed matrix are input into BRI EF algorithm which creates for each key point a set of descriptors which describe the given key point and its surroundings.
  • the descriptive set of descriptors from an external device is sent to the content server.
  • the descriptive set of descriptors from sampling server is sent directly to the recognition server as a reference sample.
  • the sampling server processes m ultiple broadcasts from various sources. Each broadcast has an unambiguous identifier (I D of the channel). Each sample of input data from each broadcast is independently processed by the above described algorithm and together with the identifier sent to the recognition server as a reference descriptive sample of descriptors.
  • the increased cred ibility of the results in the external device is achieved by sending multiple, various descriptive sets of descriptors for recogn ition and by increasing the number of identical answers of recognition .
  • the recogn ition server receives a descriptive set of descriptors from the content and sampling server. For each received descriptive set of descriptors from the sampling server the extractor extracts the precise time interval and creates an extracted descriptive set of descriptors. Accord ing to the identifier it assigns the created extracted descriptive set of descriptors to the agg regation of previous extracted descriptive sets of descriptors. I n reg ular intervals it extracts extracted descriptive sets of descriptors from aggregations and agg regates them to larger descriptive sets of descriptors representing overlapping longer time interval for the data stream accord ing to the identifier.
  • the time sample of the descriptive set of descriptors is input to FLAN N algorithm , the result of which is the FLAN N index stored in a database.
  • FLAN N algorithm the result of which is the FLAN N index stored in a database.
  • a key part is the creation of time samples of descriptive sets of descriptors of different lengths, which give rise to FLAN N indices of different lengths. It ensures that the amounts and lengths of searches necessary to recognize a sample are minimized .
  • the recognition server keeps a minimum set of FLANN indices of d ifferent lengths in the database to ensure coverage.
  • the incoming descriptive set of descriptors from the content server is sequentially compared in the comparator by LSH algorithm only with necessary FLAN N indices from the database in order to m inimize the search time.
  • the LSH assigns to key points of the descriptive set of descriptors from the content server the closest key points of the just compared time sample of the descriptive set of descriptors. Subsequently, the comparison is assessed by a filtering algorithm , the score is evaluated and accord ing to the result either further search is triggered or the response is sent back to the content server.
  • the content server is a server containing information about broadcasts, information about working recognition servers and it is receiving external signals. Its primary task is to provide relevant and timely, supplementary information for the watched content.
  • the content server maintains a list of currently available recognition servers. After receiving of a descriptive set of descriptors from an external source the available recogn ition server extracts and sends a descriptive set of descriptors for recognition . If it receives information that the recognition server is busy, it selects another recognition server. According to the response from the recognition server it subsequently creates corresponding content and sends it back to the mobile phone, mobile platform. It ensures thus automatic scaling in case of large amounts of requests for recognition .
  • the content server is automatically scaled by third-party systems. Another task of the content server is after receiving of an external signal (trigger on TV - signal generator) to change, modify and alert external devices about a change of content.
  • Input data is a gross set of data from a source, e.g . data from an audio stream.
  • Sampling server is a device able to process broadcasts/data streams in real time.
  • Mobile platform is an external device, a mobile phone, a device capable of processing the recorded sound.
  • Matrix of normalized energies is an output matrix from Short-time Fourier transform , for audio input data the x-axis are overlapping time sections and y-axis frequency intervals.
  • BRIEF is an algorithm of creating a matrix of normalized energies of the input data.
  • Key point is coordinates of an extracted point from a matrix of normalized energies.
  • Set of descriptors is a description of a key point and its surroundings in a matrix of normalized energies.
  • Descriptive set of descriptors is a set of descriptors for each key point in a matrix of normalized energies .
  • Content server is a device which operates automatic scaling , receives a descriptive set of descriptors from external devices and sends them to recognition to recognition server, receives signals from external sources.
  • FLAN N index is a structure for fast search of samples.
  • LSH is an algorithm for fast search of the descriptive set of descriptors in FLANN index.
  • Time sample of the descriptive set of descriptors is a set of descriptive sets of descriptors from multiple broadcasts aggregated according to the identifier with an exact length .
  • Recognition server is a device that receives a descriptive set of descriptors from the sampling server, aggregates them in a time sample of a descriptive set of descriptors and creates a database of FLANN indices. Subsequently, after receiving of the descriptive set of descriptors from the content server it compares it only with the necessary set of FLAN N ind ices and sends back the response.
  • the advantages of the method to lower decline in watching channels during commercial breaks and the system connection according to this invention consist in the fact that the system will offer viewers continuous experience when watch ing television by bridg ing commercial break in the form of a special content. It reduces their frustration of interruption of fun and at the same reduces the motivation to switch the channel.
  • This content is locked during usual broadcast of shows. It is un locked at the beginn ing of a commercial break and is available on ly if the viewer does not switch to another channel, since the application recognizes the currently selected channel.
  • the mechanism of un locking special content at the time of each commercial break works on a basis of processing of signal on its beginning and end.
  • the system also serves as an aggregator of relevant content on social networks. It recognizes the individual moments in broadcasting , including advertising broadcasting.
  • the system continuously monitors the broadcast and thus recognizes the broadcast advertising and alerts its submitter to the current moment of broadcasting of advertising spot together with respective performance metrics of the given spot.
  • a connection to an interface of visual graphic generator of broadcasters allows direct output of processed data from the system during the broadcast.
  • FIG. 1 is a fundamental scheme of the system connection .
  • Fig. 2 depicts a more detailed scheme of the system connection.
  • Fig . 2 depicts the scheme of signal sampling .
  • this example of concrete invention embodiment a method to lower decline in watch ing channels during commercial breaks is described . It is based on the fact that by the activation of the control application on a mobile platform in one d irection in one transmission direction the audio sample of the currently watched program on TV scanned by a mobile platform is transmitted to the content server.
  • the broadcast TV signal is sampled in a sampling server and proceeds to a recognition server.
  • the already recognized cu rrently watched selected channel enters from the recogn ition server to the content server.
  • locked special content to the television advertising and aggregated relevant contents on social networks in add ition to send ing special content to the television advertising enter the mobile platform . Opening special content to television advertising on a mobile platform is available at the beginning of the commercial break while watching the same selected channel. At the beginning of a commercial break an alert to the current moment of broadcasting of advertising spot foregoes together with performance metrics of the given spot.
  • Fig. 1 In this example of concrete invention embod iment the system connection to lower decline in watching channels d uring commercial breaks fundamentally shown in Fig . 1 and in more detailed connection shown in Fig. 2 is described .
  • It consists of the sampling server 1 with input 2 from the distributors 20 of sources of broadcasting TV signals.
  • It consists of the content server 3 which by a wire-less bi-d irectional connection connected with a mobile platform 4 by smartphone with a control application .
  • the connection there is recognition server 5 integrated which is connected with sampling server 1 and also with content server 3.
  • the content server 3 contains the first information block 6 with special content to television advertising and contains also the second information block 7 with aggregated relevant contents on social networks fill the content database 13.
  • the content server 3 contains also a request server 9 has an input 8 for a generator 14. of external signals of TV broadcasters 15.
  • the content server 3 further contains a database
  • the sampling server 1 contains a generator 10 of descriptors of the source data.
  • the recognition server 5 contains e.g . an indexing server H and a comparator 2. with a database of indices 16.
  • the mobile platform 4 contains a mod ule 2J_ of a TV set, generator 22 of descriptors of the compared data, generator 23 of requests, the display module 24_ of the relevant content and finally the time module 25.
  • the descriptive set of descriptors 29 from the sampling server 1 is sent directly to the recognition server 5 as a reference sample.
  • the recognition server 5 receives a descriptive set of descriptors 29 from the content and sampling server 3, 1_. From each received descriptive set of descriptors 29 from the sampling server 1 the extractor 30 extracts the precise time interval and creates an extracted descriptive set of descriptors 32. According to the identifier 3J_ it assigns the created extracted descriptive set of descriptors 32 to the aggregation of previous extracted descriptive sets of descriptors 35. In regular intervals it extracts extracted descriptive sets of descriptors 35 from aggregations and aggregates them to larger descriptive sets of descriptors representing overlapping longer time interval for the data stream according to the identifier 3J_.
  • the time sample of the descriptive set of descriptors 33 is input to FLANN algorithm , the result of which is the FLAN N index 34 stored in a database.
  • FLANN algorithm the result of which is the FLAN N index 34 stored in a database.
  • a key part is the creation of time samples of descriptive sets of descriptors 33 of different lengths which give rise to FLAN N indices 34 of different lengths. It ensures that the amounts and lengths of searches necessary to recognize a sample are minimized .
  • the recognition server 5 keeps a minimum set of FLANN indices 34 of different lengths in the database to ensure coverage.
  • the incoming descriptive set of descriptors from the content server is sequentially compared in the comparator 2 by LSH algorithm only with necessary FLANN indices 34 from the database in order to minimize the search time.
  • the LSH assigns to key points of the descriptive set of descriptors from the content server 3 the closest key points of the just compared time sample of the descriptive set of descriptors 33. Subsequently, the comparison is assessed by a filtering algorithm, the score is evaluated and according to the result either further search is triggered or the response is sent back to the content server.
  • Method of operation of interactive and efficient electronic advertising system and a system device according to the invention find utility in the communication technology and advertising.

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Telephonic Communication Services (AREA)

Abstract

La présente invention concerne un procédé pour diminuer la baisse de visualisation de chaînes durant des pauses publicitaires, dans lequel, dans une direction de transmission à partir de l'échantillon audio provenant d'une télévision (TV) balayée par une plateforme mobile, le canal sélectionné actuellement est reconnu et, dans la seconde direction de transmission, un contenu spécial verrouillé pour la publicité de télévision entre dans la plateforme mobile. Un contenu spécial d'ouverture pour une publicité de télévision sur une plateforme mobile est disponible au début de la pause publicitaire tout en visualisant le même canal sélectionné. Une connexion à un système pour diminuer la baisse de visualisation de chaînes durant des pauses publicitaires comprend un serveur d'échantillonnage (1) avec une entrée (2) provenant de sources de diffusion de signaux de télévision, elle comprend en outre un serveur de contenu (3), qui est connecté, par connexion bidirectionnelle sans fil, à une plateforme mobile (4) avec une application de commande. Il existe également un serveur de reconnaissance (5) qui est connecté avec un serveur d'échantillonnage (1) et également avec le serveur de contenu (3). Le serveur de contenu (3) contient le premier bloc d'informations (6) avec un contenu spécial pour une publicité de télévision et également le second bloc d'informations (7) avec des contenus pertinents agrégés sur des réseaux sociaux.
PCT/SK2015/000005 2014-11-27 2015-11-27 Procédé pour diminuer la baisse de visualisation de chaînes durant des pauses publicitaires et une connexion Ceased WO2016085414A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
SK1902015 2014-11-27
SKPUV190-2015 2014-11-27
SKPP50070-2014 2014-11-27
SK50070-2014A SK500702014A3 (sk) 2014-11-27 2014-11-27 Spôsob na zníženie prepadu sledovanosti kanálov počas reklamných prestávok a zapojenie

Publications (1)

Publication Number Publication Date
WO2016085414A1 true WO2016085414A1 (fr) 2016-06-02

Family

ID=55178305

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/SK2015/000005 Ceased WO2016085414A1 (fr) 2014-11-27 2015-11-27 Procédé pour diminuer la baisse de visualisation de chaînes durant des pauses publicitaires et une connexion

Country Status (1)

Country Link
WO (1) WO2016085414A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102017131266A1 (de) 2017-12-22 2019-06-27 Nativewaves Gmbh Verfahren zum Einspielen von Zusatzinformationen zu einer Liveübertragung
US11570506B2 (en) 2017-12-22 2023-01-31 Nativewaves Gmbh Method for synchronizing an additional signal to a primary signal

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1307833A2 (fr) * 2000-07-31 2003-05-07 Shazam Entertainment Limited Systemes et procedes permettant de reconnaitre des signaux sonores et musicaux dans des signaux a grand bruit et grande distorsion
US6941275B1 (en) * 1999-10-07 2005-09-06 Remi Swierczek Music identification system
EP2144440A1 (fr) * 2003-10-02 2010-01-13 Tivo, Inc. Modification de messages publicitaires pour une lecture à vitesse variable
WO2010065673A2 (fr) * 2008-12-02 2010-06-10 Melodis Corporation Système et procédé pour identifier une musique originale
WO2013164681A1 (fr) * 2012-05-01 2013-11-07 Kuttner Michael-Andreas Service pour présenter un contenu secondaire durant une pause publicitaire
US20140012572A1 (en) * 2011-12-30 2014-01-09 Tilman Herberger System and method for content recognition in portable devices
US20140188592A1 (en) * 2012-12-27 2014-07-03 Magix Ag Content recognition based evaluation system in a mobile environment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6941275B1 (en) * 1999-10-07 2005-09-06 Remi Swierczek Music identification system
EP1307833A2 (fr) * 2000-07-31 2003-05-07 Shazam Entertainment Limited Systemes et procedes permettant de reconnaitre des signaux sonores et musicaux dans des signaux a grand bruit et grande distorsion
EP2144440A1 (fr) * 2003-10-02 2010-01-13 Tivo, Inc. Modification de messages publicitaires pour une lecture à vitesse variable
WO2010065673A2 (fr) * 2008-12-02 2010-06-10 Melodis Corporation Système et procédé pour identifier une musique originale
US20140012572A1 (en) * 2011-12-30 2014-01-09 Tilman Herberger System and method for content recognition in portable devices
WO2013164681A1 (fr) * 2012-05-01 2013-11-07 Kuttner Michael-Andreas Service pour présenter un contenu secondaire durant une pause publicitaire
US20140188592A1 (en) * 2012-12-27 2014-07-03 Magix Ag Content recognition based evaluation system in a mobile environment

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102017131266A1 (de) 2017-12-22 2019-06-27 Nativewaves Gmbh Verfahren zum Einspielen von Zusatzinformationen zu einer Liveübertragung
US11570506B2 (en) 2017-12-22 2023-01-31 Nativewaves Gmbh Method for synchronizing an additional signal to a primary signal
EP4178212A1 (fr) 2017-12-22 2023-05-10 NativeWaves GmbH Procédé de synchronisation d'un signal supplémentaire à un signal principal

Similar Documents

Publication Publication Date Title
US9942711B2 (en) Apparatus and method for determining co-location of services using a device that generates an audio signal
US9451048B2 (en) Methods and systems for identifying information of a broadcast station and information of broadcasted content
US9460204B2 (en) Apparatus and method for scene change detection-based trigger for audio fingerprinting analysis
US8718805B2 (en) Audio-based synchronization to media
US9635417B2 (en) Acquisition, recovery, and matching of unique information from file-based media for automated file detection
US20240314185A1 (en) Using messaging associated with adaptive bitrate streaming to perform media monitoring for mobile platforms
US20220121973A1 (en) Systems and methods for determining that a media item is being presented
US8904442B2 (en) Method and system for information querying
CN1719909A (zh) 一种测量音视频内容变化的方法
CN112913251B (zh) 利用水印和签名的媒体识别
CN113301397B (zh) 基于cdn的音视频传输、播放与延时探测方法及设备
US20220264281A1 (en) Peripheral Video Presence Detection
WO2016085414A1 (fr) Procédé pour diminuer la baisse de visualisation de chaînes durant des pauses publicitaires et une connexion
CN110750719A (zh) 一种基于iptv的资讯精准推送系统及方法
CN105430449A (zh) 媒体文件播放方法、装置及系统
US11800170B2 (en) Content-modification system with feature for prioritizing channels used in channel identification
WO2015006717A1 (fr) Système et procédé de fourniture de contenu multimédia interactif ou additionnel
WO2018039060A1 (fr) Systèmes et procédés d'approvisionnement de flux en direct
SK8097Y1 (sk) Spôsob rozoznávania reklamného spotu počas televízneho vysielania a systémové zapojenie
SK500702014A3 (sk) Spôsob na zníženie prepadu sledovanosti kanálov počas reklamných prestávok a zapojenie
US20150095195A1 (en) Content discovery via tags
Jiang et al. TVEar: A TV-tagging System Based on Audio Fingerprint
CN106375802A (zh) 低带宽智能移动终端视频直播方法及系统
CN105721900A (zh) 视频切换方法、装置及系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15826067

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 12/09/2017)

122 Ep: pct application non-entry in european phase

Ref document number: 15826067

Country of ref document: EP

Kind code of ref document: A1