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Reranking Methods for Visual Search
July-September 2007 (vol. 14 no. 3)
pp. 14-22
Winston H. Hsu, National Taiwan University
Lyndon S. Kennedy, Columbia University
Shih-Fu Chang, Columbia University
Most semantic video search methods use text-keyword queries or example video clips and images. But such methods have limitations. Here the authors introduce two reranking processes for image and video search that automatically reorder results from initial text-only searches based on visual features and content similarity.
Index Terms:
image and video search, content analysis and indexing, retrieval models
Citation:
Winston H. Hsu, Lyndon S. Kennedy, Shih-Fu Chang, "Reranking Methods for Visual Search," IEEE Multimedia, vol. 14, no. 3, pp. 14-22, July-Sept. 2007, doi:10.1109/MMUL.2007.61
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