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ACCV
2006
Springer
13 years 11 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
ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
13 years 9 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang
CIKM
2007
Springer
13 years 9 months ago
Improve retrieval accuracy for difficult queries using negative feedback
How to improve search accuracy for difficult topics is an underaddressed, yet important research question. In this paper, we consider a scenario when the search results are so poo...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
TREC
1997
13 years 6 months ago
Rutgers' TREC-6 Interactive Track Experience
The goal of the Rutgers TREC-6 Interactive Track study was to compare the performance and usability of a system offering positive relevance feedback with one offering positive and...
Nicholas J. Belkin, Jose Perez Carballo, Colleen C...
ICIP
2003
IEEE
13 years 10 months ago
Evaluating group-based relevance feedback for content-based image retrieval
We have been developing new relevance feedback algorithms for Content-based Image Retrieval (CBIR) that allow the user to achieve more flexible query. In conjunction with the new...
Munehiro Nakazato, Charlie K. Dagli, Thomas S. Hua...