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» Image retrieval on large-scale image databases
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VLC
2008
178views more  VLC 2008»
15 years 4 months ago
An exploration of diversified user strategies for image retrieval with relevance feedback
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
Michel Crucianu, Jean-Philippe Tarel, Marin Fereca...
ICPR
2010
IEEE
15 years 1 months ago
Beyond "Near Duplicates": Learning Hash Codes for Efficient Similar-Image Retrieval
Finding similar images in a large database is an important, but often computationally expensive, task. In this paper, we present a two-tier similar-image retrieval system with the...
Shumeet Baluja, Michele Covell
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
15 years 10 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 ...
MIR
2005
ACM
141views Multimedia» more  MIR 2005»
15 years 10 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
ICTAI
1999
IEEE
15 years 8 months ago
Spatial Color Histograms for Content-Based Image Retrieval
Color histogram is an important technique for color image database indexing and retrieving. In this paper, traditional color histogram is modified to capture spatial layout informa...
Aibing Rao, Rohini K. Srihari, Zhongfei Zhang