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» A quasi-random sampling approach to image retrieval
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CVPR
2008
IEEE
14 years 10 months ago
A quasi-random sampling approach to image retrieval
In this paper, we present a novel approach to contentsbased image retrieval. The method hinges in the use of quasi-random sampling to retrieve those images in a database which are...
Jun Zhou, Antonio Robles-Kelly
ICPR
2010
IEEE
13 years 5 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
CIKM
2010
Springer
13 years 6 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
PCM
2004
Springer
114views Multimedia» more  PCM 2004»
14 years 1 months ago
Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval
The success of the relevance feedback search paradigm in image retrieval is influenced by the selection strategy employed by the system to choose the images presented to the user ...
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
CIVR
2005
Springer
144views Image Analysis» more  CIVR 2005»
14 years 1 months ago
A Weakly Supervised Approach for Semantic Image Indexing and Retrieval
This paper presents a new approach for building semantic image indexing and retrieval systems. Our approach is composed of four phases : (1) knowledge acquisition, (2) weakly-super...
Nicolas Maillot, Monique Thonnat