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» Textural Features and Relevance Feedback for Image Retrieval
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ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
14 years 9 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
IVC
2007
191views more  IVC 2007»
14 years 11 months ago
Rotation-invariant and scale-invariant Gabor features for texture image retrieval
Conventional Gabor representation and its extracted features often yield a fairly poor performance in retrieving the rotated and scaled versions of the texture image under query. ...
Ju Han, Kai-Kuang Ma
CVPR
2004
IEEE
15 years 3 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp
ICPR
2000
IEEE
16 years 26 days ago
A Weighted Distance Approach to Relevance Feedback
Content-based image retrievalsystems use low-levelfeatures like color and texturefor image representation. Given these representationsasfeature vectors, similarity between images ...
Selim Aksoy, Robert M. Haralick, Faouzi Alaya Chei...
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
15 years 4 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...