Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
SimFusion: measuring similarity using unified relationship matrix
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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In this paper, we address the problem of generating both visual and textual summaries for tagged image collections simultaneously. The visual and textual summaries consist of representative images and tags of the collection, which are selected through a proposed cross-media voting scheme. In the voting scheme, the likelihood of an image to be a representative is voted by not only other images but also the tags, according to the intra-media and cross-media affinities. The likelihood of a tag to be a representative is obtained in similar manner at the same time. We demonstrate that the proposed scheme produces more informative textual and visual summaries than summarizing images and tags separately.