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Video Data Visualization System : Semantic Classification and Personalization
2012
International Journal of Computer Graphics & Animation
We present in this paper an intelligent video data visualization tool, based on semantic classification, for retrieving and exploring a large scale corpus of videos. Our work is based on semantic classification resulting from semantic analysis of video. The obtained classes will be projected in the visualization space. The graph is represented by nodes and edges, the nodes are the keyframes of video documents and the edges are the relation between documents and the classes of documents.
doi:10.5121/ijcga.2012.2201
fatcat:67ryfztdd5hhtkebrel3zuvrki