DocumentCode
3266325
Title
Image retrieval using a novel relevance feedback for edge histogram descriptor of MPEG-7
Author
Yoon, Su Jung ; Park, Dong Kwon ; Park, Soo-Jun ; Won, Chee Sun
Author_Institution
Dept. of Electron. Eng., Dongguk Univ., Seoul, South Korea
fYear
2001
fDate
2001
Firstpage
354
Lastpage
355
Abstract
In this paper, a relevance feedback method is proposed to improve the retrieval performance of the MPEG-7 edge histogram descriptor. Specifically, by updating the query point and the weighting factors simultaneously, we can reduce the convergence speed of the relevance feedback retrieval. Experimental results show that the proposed method improves the performance significantly for natural and clip art images
Keywords
content-based retrieval; image matching; image representation; image retrieval; relevance feedback; MPEG-7 edge histogram descriptor; clip art images; convergence speed; edge histogram descriptor; image retrieval; natural images; performance; query point; relevance feedback; weighting factors; Art; Convergence; Digital images; Feedback; Flowcharts; Histograms; Image matching; Image retrieval; MPEG 7 Standard; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, 2001. ICCE. International Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-7803-6622-0
Type
conf
DOI
10.1109/ICCE.2001.935342
Filename
935342
Link To Document