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» Boosting Image Retrieval
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MIR
2005
ACM
141views Multimedia» more  MIR 2005»
14 years 4 months ago
A mutual semantic endorsement approach to image retrieval and context provision
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
Jia Li
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 4 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
ICDAR
1999
IEEE
14 years 3 months ago
Automatic Storage, Retrieval, and Visualization of Bank Check Images
This paper presents an automated system for storage and retrieval of bank checks in contrast with the microfilming techniques that are currently used. The bank check images are in...
Alessandro L. Koerich, Luan Ling Lee
CVPR
2001
IEEE
15 years 24 days ago
Adaptive Binning and Dissimilarity Measure for Image Retrieval and Classification
Color histogram is an important part of content-based image retrieval systems. It is a common understanding that histograms that adapt to images can represent their color distribu...
Wee Kheng Leow, Rui Li
ICIP
2001
IEEE
15 years 11 days ago
Image retrieval with relevance feedback: from heuristic weight adjustment to optimal learning methods
Various relevance feedback algorithms have been proposed in recent years in the area of content-based image retrieval. This paper gives a brief review and analysis on existing tec...
Xiang Sean Zhou, Thomas S. Huang