Re-ranking for multimedia indexing and retrieval

Authors:
Bahjat Safadi;Georges Quénot
Affiliations:
Laboratoire d'Informatique de Grenoble, Grenoble Cedex, France;Laboratoire d'Informatique de Grenoble, Grenoble Cedex, France
Venue:
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Year:
2011

Citing 2
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Abstract

We proposed a re-ranking method for improving the performance of semantic video indexing and retrieval. Experimental results show that the proposed re-ranking method is effective and it improves the system performance on average by about 16-22% on TRECVID 2010 semantic indexing task.