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Semantic clustering and querying on heterogeneous features for visual data
1998
Proceedings of the sixth ACM international conference on Multimedia - MULTIMEDIA '98
The e ectiveness of the content-based image retrieval can be enhanced using the heterogeneous features embedded in the images. However, since the features in texture, color, and shape are generated using di erent computation methods and thus may require di erent similarity measurements, the integration of the retrieval on heterogeneous features is a non-trivial task. In this paper, we present a semanticsbased clustering approach, termed SemQuery, to support visual queries on heterogeneous
doi:10.1145/290747.290749
dblp:conf/mm/SheikholeslamiCZ98
fatcat:5a3a3uw7ovgsbl2bnt5s6yge2m