DocumentCode
1601002
Title
Implicit Media Knowledge
Author
Ly, Muy-Chu ; Germaneau, Alexis ; Martinot, Olivier
Author_Institution
Bell Labs., Alcatel-Lucent France, Nozay
fYear
2009
Firstpage
232
Lastpage
235
Abstract
These years, the number of visual media (e.g. images, photos, videos...) is exponentially increasing with the apparition of new technologies. Most of these media are shared on the Web with the apparition of social networks such as FaceBook, MySpace, Flickr... The problem related to the media extraction and indexing is become a big issue as the need is become primordial to efficiently retrieve the right media among millions of media. Firstly, we will present an overview of some existing visual media indexing/retrieval systems and its related limitations/improvements. Secondly, we will present a new way to improve media indexing/retrieval without effort: it is based on the analysis of media usage (via implicit user actions on media) in order to enrich media with pertinent information.
Keywords
indexing; information retrieval; multimedia systems; social networking (online); FaceBook; Flickr; MySpace; World Wide Web; media extraction; media knowledge; media usage; social network; visual media indexing; visual media retrieval system; Art; Electronic mail; Facebook; Image retrieval; Indexing; Information retrieval; MySpace; Social network services; Tagging; Videos; Implicit information; Indexing media; Media usage;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks, 2009. ICN '09. Eighth International Conference on
Conference_Location
Gosier, Guadeloupe
Print_ISBN
978-1-4244-3470-1
Electronic_ISBN
978-0-7695-3552-4
Type
conf
DOI
10.1109/ICN.2009.45
Filename
4976680
Link To Document