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.

• Type: Journal
• Year: 2009
• Where: ICN
• Authors: Muy-Chu Ly, Alexis Germaneau, Olivier Martinot
• Keywords: Computer Networks, ICN 2009, Relevant Information, Specific Media, Visual Media