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» Improving image retrieval effectiveness via multiple queries
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IAJIT
2010
119views more  IAJIT 2010»
13 years 6 months ago
Improving the Effectiveness of the Color Coherence Vector
: This paper was motivated by the desire to improve the effectiveness of retrieving images on the basis of their color content by improving the Color Coherence Vector method. There...
Alaa Al-Hamami, Hisham Al-Rashdan
PAMI
2012
11 years 10 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
14 years 1 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
MCAM
2007
Springer
112views Multimedia» more  MCAM 2007»
14 years 1 months ago
SIEVE - Search Images Effectively Through Visual Elimination
Existing Web image search engines index images by textual descriptions including filename, image caption, surrounding text, etc. However, the textual description available on the W...
Ying Liu, Dengsheng Zhang, Guojun Lu
CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....