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PBIR-MM
2002
Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02
We demonstrate PBIR-MM, an integrated system that we have built for conducting multimodal image retrieval. The system combines the strengths of content-based soft annotation (CBSA), multimodal relevance feedback through active learning, and perceptual distance formulation and indexing. PBIR-MM supports multimodal query and annotation in any combination of its three basic modes: seedby-nothing, seed-by-keywords, and seed-by-content. We demonstrate PBIR-MM on a couple of very large image sets
doi:10.1145/641091.641097
fatcat:2sp5pvyfxjhilhwcz5ca7r2wt4