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» Instance-Based Relevance Feedback for Image Retrieval
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CBMS
2005
IEEE
13 years 11 months ago
Relevance Feedback for Spine X-ray Retrieval
Relevance feedback (RF) has been an active research area in Content-based Image Retrieval (CBIR). RF intends to bridge the gap between the low-level image features and the high-le...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
SAC
2006
ACM
13 years 12 months ago
Relevance feedback methods for logo and trademark image retrieval on the web
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...
ICIP
2002
IEEE
14 years 7 months ago
A feature re-weighting approach for relevance feedback in image retrieval
Users of image databases often prefer to retrieve relevant images by categories. Unfortunately, images are usually indexed by low-level features like color, texture and shape, whi...
Yimin Wu, Aidong Zhang
MTA
2002
166views more  MTA 2002»
13 years 5 months ago
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
ThefieldofContent-BasedVisualInformationRetrieval(CBVIR)hasexperiencedtremendousgrowth in the recent years and many research groups are currently working on solutions to the proble...
Oge Marques, Borko Furht
ACCV
2006
Springer
13 years 12 months ago
Heuristic Pre-clustering Relevance Feedback in Region-Based Image Retrieval
Relevance feedback (RF) and region-based image retrieval (RBIR) are two widely used methods to enhance the performance of contentbased image retrieval (CBIR) systems. In this paper...
Wan-Ting Su, Wen-Sheng Chu, James Jenn-Jier Lien