Sparse Transfer Learning For Interactive Video Search Reranking

Publisher:
Assoc Computing Machinery
Publication Type:
Journal Article
Citation:
ACM Transactions on Multimedia Computing Communications and Applications, 2012, 8 (3), pp. 1 - 19
Issue Date:
2012-01
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Visual reranking is effective to improve the performance of the text-based video search. However, existing reranking algorithms can only achieve limited improvement because of the well-known semantic gap between low-level visual features and high-level s
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