標題: Content-based image retrieval using both positive and negative feedback
作者: Chang, FC
Hang, HM
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
公開日期: 2004
摘要: Satisfactory content-based search has long been considered a difficult task. One critical step in the content-based search is to estimate the user intention (perception) based on the query images. Our proposal is developed based on the combined weighted low-level image features. One distinct concept of our algorithm is that a sparse (scattered) feature is considered to be less important (which is not necessarily perceptually dissimilar). The other concept is that we define the image feature stability and include it in calculating the similarity measure. Yet the third concept is using negative feedback as a pruning criterion to improve searching accuracy. At the end, quantitative simulation results are used to show the effectiveness of these concepts.
URI: http://hdl.handle.net/11536/18195
ISBN: 0-7803-8603-5
期刊: 2004 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXP (ICME), VOLS 1-3
起始頁: 1887
結束頁: 1890
Appears in Collections:Conferences Paper