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A feature re-weighting approach for relevance feedback in image retrieval
Proceedings. International Conference on Image Processing
Users of image databases often prefer to retrieve relevant images by categories. Unfortunately, images are usually indexed by low-level features like color, texture and shape, which often fail to capture high-level concepts well. To address this issue, relevance feedback has been extensively used to associate low-level image features with highlevel concepts. Among all existing relevance feedback approaches, query movement and feature re-weighting have been proven to be suitable for large-scaleddoi:10.1109/icip.2002.1040017 dblp:conf/icip/WuZ02 fatcat:3lsa7nkugzbc5lygl2tnqhn7si