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Author Xiong, Ziyou ♦ Zhou, Xiang ♦ Pottengerý, William M. ♦ Huang, Thomas S.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Hierarchical Distance Model ♦ Minimum Sacrifice ♦ Sub-feature Level ♦ New High Level ♦ Feature Level ♦ Corel Database ♦ Relevance Feedback Technique ♦ Image Retrieval ♦ Retrieval Performance ♦ Content-based Image Retrieval ♦ Relevance Feedback ♦ Theoretic Framework
Description International Conference on Image Processing 2001 (ICIP01)
A content-based image retrieval(CBIR) system has been constructed to integrate relevance feedback with triangle-inequality based algorithms. The system offers typically 20 to 30 times faster retrieving speed with minimum sacrifice of retrieval performance on Corel database consisting of more than 17,000 images. The theoretic framework is built by using triangleinequality based algorithms at sub-feature level and using relevance feedback techniques at feature level. Results show retrieval performance is clearly improved over the approach with only triangle-inequality based algorithms. A new high level weight updating method for the hierarchical distance model for relevance feedback is proposed.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2002-01-01