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MM
2004
ACM
129views Multimedia» more  MM 2004»
14 years 1 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
ICCV
2011
IEEE
12 years 8 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
CVPR
2001
IEEE
14 years 10 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
ECCV
2004
Springer
14 years 10 months ago
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
Ruofei Zhang, Zhongfei (Mark) Zhang
CLEF
2007
Springer
14 years 2 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...