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» Boosting Image Retrieval
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MM
2006
ACM
217views Multimedia» more  MM 2006»
15 years 10 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
158
Voted
ADC
2007
Springer
170views Database» more  ADC 2007»
15 years 10 months ago
Pruning SIFT for Scalable Near-duplicate Image Matching
The detection of image versions from large image collections is a formidable task as two images are rarely identical. Geometric variations such as cropping, rotation, and slight p...
Jun Jie Foo, Ranjan Sinha
CVPR
2007
IEEE
16 years 6 months ago
A Binning Scheme for Fast Hard Drive Based Image Search
In this paper we investigate how to scale a content based image retrieval approach beyond the RAM limits of a single computer and to make use of its hard drive to store the featur...
David Nistér, Friedrich Fraundorfer, Henrik...
WWW
2010
ACM
15 years 8 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman