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2009
Springer

Implicit Media Knowledge

11 years 7 months ago
Implicit Media Knowledge
Implicit Media Knowledge aims to provide relevant information related to visual media without effort. It is based on the analysis of media usage from several users (e.g. a community). Algorithms based on clustering methods that extract relevant information (e.g. tags, taxonomy trees) related to a media from its usage are detailed. To validate our new approach, we propose to apply our concept and algorithms on a specific media use such as the analysis of how multiple users organize their media files. Significant results of this first experimentation will be highlighted. Perspectives of our work will be finally presented.
Muy-Chu Ly, Alexis Germaneau, Olivier Martinot
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICN
Authors Muy-Chu Ly, Alexis Germaneau, Olivier Martinot
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