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» Boosting Image Retrieval
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115
Voted
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
15 years 7 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua
139
Voted
CVPR
2009
IEEE
16 years 7 months ago
Localized Content-Based Image Retrieval Through Evidence Region Identification
Over the past decade, multiple-instance learning (MIL) has been successfully utilized to model the localized content-based image retrieval (CBIR) problem, in which a bag corresp...
Wu-Jun Li (Hong Kong University of Science and Tec...
97
Voted
ICIP
2003
IEEE
16 years 2 months ago
Scalable object-based image retrieval
Digital visual libraries have currently available huge amounts of content in unstructured, nonindexed form. Since these collections keep growing fast, retrieving specific images i...
Tsz Ying Lui, Ebroul Izquierdo
94
Voted
ICIP
2002
IEEE
16 years 2 months ago
DPF - a perceptual distance function for image retrieval
For almost a decade, Content-Based Image Retrieval has been an active research area, yet one fundamental problem remains largely unsolved: how to measure perceptual similarity. To...
Baitao Li Chang, E. Ching-Tung Wu
ICIP
1999
IEEE
16 years 2 months ago
In-Picture Search Algorithm for Content-Based Image Retrieval
Researchers are currently more interested in searching for fragments that are similar to a query, than a total data item that is similar to a query; the search interest is for &qu...
Punpiti Piamsa-nga, Nikitas A. Alexandridis, Sanan...