NDLI: Novel Relevance Feedback Algorithm with Tabu-list in Image Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Decai Huang Jia Hu Yuan Yuan
Copyright Year	2006
Description	Author affiliation: Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou (Decai Huang; Jia Hu; Yuan Yuan)
Abstract	In the research of content-based image retrieval, the former work was focused on the choice and the extraction of ocular features principally. But this kind of retrieval system cannot meet the expectations of practical use, because it can neither make full use of people's subjectivity, nor integrate low-level image features with semantic contents of images. In order to solve this problem, this paper uses the scheme of region weight adjusted automatically and tabu search algorithm, presents a tabu search-based relevance feedback algorithm in image retrieval. The experimental results show that after the region weight adjusted by this algorithm. The retrieval performance is improved very obviously
Sponsorship	STEMES/IMSCCS Conference, USA The University of Iowa, USA Zhejing Univ., China Harbin Eng. Univ., China
Starting Page	226
Ending Page	230
File Size	255164
Page Count	5
File Format	PDF
ISBN	0769525814
DOI	10.1109/IMSCCS.2006.92
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Histograms Content based retrieval Computer displays Negative feedback Image databases Image retrieval Feature extraction Educational institutions Frequency conversion
Content Type	Text
Resource Type	Article

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