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In this paper, a novel approach for automatic matching, ranking and retrieval of video clips is proposed. Motivated by the maximal and optimal matching theories in graph analysis, a new similarity measure of video clips is defined based on the representation and modeling of bipartite graph. Four different factors: visual similarity, granularity, interference and temporal order of shots are taken into consideration for similarity ranking. These factors are progressively analyzed in the proposeddoi:10.1109/icme.2003.1220918 dblp:conf/icmcs/PengNDGX03 fatcat:vboi772ji5cmjg35xfbqy6an6i