Paper Info
Title
Implicit Media Knowledge
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.
Year
DOI
Venue
2009
10.1109/ICN.2009.45
ICN
Keywords
Field
DocType
existing visual media indexing,big issue,retrieval system,new technology,visual media,implicit media knowledge,media extraction,media usage,media indexing,related limitation,right media,data mining,social network,media,servers,indexing,indexation,visualization,world wide web,art,information retrieval,image retrieval
World Wide Web,Social network,Computer science,Visualization,Server,Search engine indexing,Emerging technologies,Visual media,Digital media,Multimedia
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Muy-Chu Ly100.34
Alexis Germaneau211.02
Olivier Martinot3125.95