INTERNETVISION

Internet Vision: Distributed and secure algorithms for image search and match

 Coordinatore TEL AVIV UNIVERSITY 

 Organization address address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
Titolo: Ms.
Nome: Lea
Cognome: Pais
Email: send email
Telefono: +972 3 6408774
Fax: +972 3 6409697

 Nazionalità Coordinatore Israel [IL]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2009-RG
 Funding Scheme MC-IRG
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-12-01   -   2014-11-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TEL AVIV UNIVERSITY

 Organization address address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
Titolo: Ms.
Nome: Lea
Cognome: Pais
Email: send email
Telefono: +972 3 6408774
Fax: +972 3 6409697

IL (TEL AVIV) coordinator 100˙000.00

Mappa


 Word cloud

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

visual    cameras    vision    photo    capture    internet    images    ways    years    camera    algorithms    computer    sold    content   

 Obiettivo del progetto (Objective)

'Motivation. The spread of low cost, digital cameras triggered a revolution in the way people capture and share images, as is evident by the rise of photo and video sharing sites such as YouTube, DailyMotion or Flickr, to name a few. The intersection of computer vision and the internet gave rise to the emerging field of “Internet Vision". Computer vision techniques are used to develop new ways to navigate visual content on the web, and the availability of large-scale, online photo collections led to tremendous progress in the field of object recognition and image understanding. This is just the beginning; Internet-enabled cameras offer radical new ways to capture and process images. Therefore, I believe that future computer vision algorithms should be developed for mobile devices that couple together a camera, a computing unit, and an internet connection. With a billion camera-phones sold in the last six years, and billions more expected to be sold in the coming years, the field of Internet Vision is certain to have a profound social and cultural impact on the way we capture and consume visual content. In the past several years I have been actively developing distributed and secure vision algorithms. I propose to extend and improve them.'

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