Re-ranking for Multimedia Indexing and Retrieval

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.

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