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Proceedings Paper

Efficient multi-ranking based on view selection for content based image retrieval
Author(s): Fan Wang; Qionghai Dai; Guihua Er
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Paper 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.

Paper Details

Date Published: 28 January 2008
PDF: 8 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220H (28 January 2008); doi: 10.1117/12.766433
Show Author Affiliations
Fan Wang, Tsinghua Univ. (China)
Qionghai Dai, Tsinghua Univ. (China)
Guihua Er, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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