標題: A relevance feedback image retrieval scheme using multi-instance and pseudo image concepts
作者: Chang, Feng-Cheng
Hang, Hsueh-Ming
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: image retrieval;perception weighting;relevance feedback
公開日期: 1-May-2006
摘要: Content-based image search has long been considered a difficult task. Making correct conjectures on the user intention (perception) based on the query images is a critical step in the content-based search. One key concept in this paper is how we find the user preferred low-level image characteristics from the multiple positive samples provided by the user. The second key concept is how we generate a set of consistent "pseudo images" when the user does not provide a sufficient number of samples. The notion of image feature stability is thus introduced. The third key concept is how we use negative images as pruning criterion. In realizing the preceding concepts, an image search scheme is developed using the weighted lowlevel image features. At the end, quantitative simulation results are used to show the effectiveness of these concepts.
URI: http://dx.doi.org/10.1093/ietisy/e89-d.5.1720
http://hdl.handle.net/11536/12266
ISSN: 0916-8532
DOI: 10.1093/ietisy/e89-d.5.1720
期刊: IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume: E89D
Issue: 5
起始頁: 1720
結束頁: 1731
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