Efficient multi-ranking based on view selection for content based image retrieval

Fan Wang; Qionghai Dai; Guihua Er

doi:10.1117/12.766433

28 January 2008 Efficient multi-ranking based on view selection for content based image retrieval

Fan Wang, Qionghai Dai, Guihua Er

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 68220H (2008) https://doi.org/10.1117/12.766433
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

This paper proposes an effcient multi-ranking algorithm for content based image retrieval based on view selection. The algorithm treats multiple sets of features as views, and selects effective ones from them for ranking tasks using a data-driven training algorithm. A set of views with different weights are obtained through interaction between all the views by both self-enforcement and co-reduction. The final sets of views are quite small and reasonable, yet the effectiveness of original feature sets is preserved. This algorithm provides the potential of scaling up to large data sets without losing retrieval accuracy. Our experimental retrieval results on real world image sets demonstrate the effectiveness and effciency of our framework.

Citation Download Citation

Fan Wang, Qionghai Dai, and Guihua Er "Efficient multi-ranking based on view selection for content based image retrieval", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220H (28 January 2008); https://doi.org/10.1117/12.766433

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