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Video search reranking through random walk over document-level context graph
2007
Proceedings of the 15th international conference on Multimedia - MULTIMEDIA '07
Multimedia search over distributed sources often result in recurrent images or videos which are manifested beyond the textual modality. To exploit such contextual patterns and keep the simplicity of the keyword-based search, we propose novel reranking methods to leverage the recurrent patterns to improve the initial text search results. The approach, context reranking, is formulated as a random walk problem along the context graph, where video stories are nodes and the edges between them are
doi:10.1145/1291233.1291446
dblp:conf/mm/HsuKC07
fatcat:ehvghgzltbayjpsab6m2d3fufi