ViSTA-TV

ViSTA-TV - Video Stream Analytics for Viewers in the TV Industry

 Coordinatore UNIVERSITAET ZUERICH 

 Organization address

contact info
Titolo: Prof.
Nome: Abraham
Cognome: Bernstein
Email: send email
Telefono: +41 44 635 4579
Fax: +41 44 635 68 09

 Nazionalità Coordinatore Switzerland [CH]
 Totale costo 2˙605˙896 €
 EC contributo 1˙995˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-SME-DCL
 Funding Scheme CP
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-06-01   -   2014-05-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1 UNIVERSITAET ZUERICH CH coordinator 0.00
2    BRITISH BROADCASTING CORPORATION

 Organization address address: PORTLAND PLACE BROADCASTING HOUSE
city: LONDON

contact info
Titolo: Ms.
Nome: Hélène
Cognome: Waters
Email: send email
Telefono: +44 1604 737 675
Fax: +44 1604 737 624

UK (LONDON) participant 0.00
3    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH

 Organization address address: Raemistrasse 101
city: ZUERICH

contact info
Titolo: Ms.
Nome: Agatha
Cognome: Keller
Email: send email
Telefono: +41 44 634 53 50

CH (ZUERICH) participant 0.00
4    RAPIDMINER GMBH

 Organization address address: STOCKUMER STRASSE 475
city: DORTMUND

contact info
Titolo: Dr.
Nome: Ingo
Cognome: Mierswa
Email: send email
Telefono: +49 231 425 786 90

DE (DORTMUND) participant 0.00
5    STICHTING VU-VUMC

 Organization address address: DE BOELELAAN 1105
city: AMSTERDAM

contact info
Titolo: Dr.
Nome: Yvonne
Cognome: Kops
Email: send email
Telefono: +31 20 5987500

NL (AMSTERDAM) participant 0.00
6    TECHNISCHE UNIVERSITAET DORTMUND

 Organization address address: AUGUST-SCHMIDT-STRASSE 4
city: DORTMUND

contact info
Titolo: Mr.
Nome: Michael
Cognome: Lohmeier
Email: send email
Telefono: 492318000000
Fax: 492318000000

DE (DORTMUND) participant 0.00
7    ZATTOO EUROPA AG

 Organization address address: EGGBUHLSTRASSE 28
city: ZURICH

contact info
Titolo: Mr.
Nome: Beat
Cognome: Knecht
Email: send email
Telefono: +41 43 500 2101

CH (ZURICH) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

ip    stream    data    anonymized    sme    employ    lod    video    live    market    vista    tv    gathered    iptv    behavior    behavioral    place    gather    recommendations    mining    streams   

 Obiettivo del progetto (Objective)

Live video content is increasingly consumed over IP networks in addition to traditional broadcasting. The move to IP provides a huge opportunity to discover what people are watching in much greater breadth and depth than currently possible through interviews or set-top box based data gathering by rating organizations, because it allows direct analysis of consumer behavior via the logs they produce. The ViSTA-TV project proposes to gather consumers' anonymized viewing behavior and the actual video streams from broadcasters/IPTV-transmitters to combine them with enhanced electronic program guide information as the input for a holistic live-stream data mining analysis: the basis for an SME-driven market-place for TV viewing-behavior information. First, ViSTA-TV will employ the gathered information via a stream-analytics process to generate a high-quality linked open dataset (LOD) describing live TV programming. Second, combining the LOD with the behavioral information gathered, ViSTA-TV will be in the position to provide highly accurate market research information about viewing behavior that can be used for a variety of analyses of high interest to all participants in the TV-industry. This generates a novel, SME-driven market place for TV viewing-behavior data and analyses. Third, to gather anonymized behavioral information about viewers not using our IPTV-streams ViSTA-TV will employ the gathered information to build a recommendation service that exploits both usage information and personalized feature extraction in conjunction with existing meta-information to provide real-time viewing recommendations. Commercially, the revenues gathered in the market research activity will cross-subsidize the production of the open-sourced LOD stream. These results are made possible by scientific progress in data-stream mining consisting of advances in (1) data mining for tagging, recommendations, and behavioral analyses and (2) temporal/probabilistic RDF-triple stream processing.

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