DAG based visual interfaces for navigation in index vidéo content
Abstract
Indexing and segmenting of video content by motion, color and texture has been intensively explored leading to a usual representation in a storyboard. In this paper, a novel method of visualization of video content is proposed. First of all, the content is segmented into shots, and then a spatio-temporal color signature of shots, based on color distribution in the frames, is proposed. This spatio-temporal color signature serves as a basis for graph clustering and graph visualization tools. The latter, united in a general huge graphs visualization tool, Tulip, supply an exciting graph-based navigation interface for multimedia content. The results obtained on feature documentaries are promising.