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.
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Safadi, B., Quénot, G. (2011). Re-ranking for Multimedia Indexing and Retrieval. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_76
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DOI: https://doi.org/10.1007/978-3-642-20161-5_76
Publisher Name: Springer, Berlin, Heidelberg
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