A comprehensive study on learning to rank for content-based image retrieval

Abstract

Recently, various learning to rank approaches have been proposed in the information retrieval realm, with their promising performance in general document and web page retrieval applications. Based on these achievements, in this paper, we investigate and discuss whether learning to rank approaches can be adapted to content-based image retrieval (CBIR). Given… (More)
DOI: 10.1016/j.sigpro.2012.06.012

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Cite this paper

@article{Li2013ACS, title={A comprehensive study on learning to rank for content-based image retrieval}, author={Yangxi Li and Chao Zhou and Bo Geng and Chao Xu and Hong Liu}, journal={Signal Processing}, year={2013}, volume={93}, pages={1426-1434} }