VISUAL INTERFACE FOR THE CONCEPT DISTRIBUTION ANALYSIS IN VIDEO SEARCH RESULTS
Alain Simac-Lejeune · 2012
Abstract: Video media are now emerging with the democratization of broadband, capture tools and content delivery services. Despite the current performance of the 'traditional ' search engines, the video search engines are challenged by the semantic difference between requests made verbatim and the data as video. Thus, most engines are not based on content but on the tags associated with documents. The approach presented in this paper is based on extraction of high-level semantics information and offers a visualization of the results based on the content, representativeness, temporal location and redundancy, which ensures the users a high level of relevance of their research results. 1