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84
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ICIP
2001
IEEE
15 years 11 months ago
Shape measures for image retrieval
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obta...
George Gagaudakis, Paul L. Rosin
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
14 years 7 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
IMCSIT
2010
14 years 7 months ago
Emotion-based Image Retrieval - an Artificial Neural Network Approach
Human emotions can provide an essential clue in searching images in an image database. The paper presents our approach to content based image retrieval systems which takes into acc...
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-K...
82
Voted
PR
2002
88views more  PR 2002»
14 years 9 months ago
Indexing chromatic and achromatic patterns for content-based colour image retrieval
In this paper, we present a method to represent achromatic and chromatic image signals independently for content-based image indexing and retrieval for image database applications...
Guoping Qiu
CIVR
2007
Springer
112views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Practice and challenges in trademark image retrieval
In this paper, we outline some of the main challenges facing trademark searchers today, and discuss the extent to which current automated systems are meeting those challenges. Cat...
Jan Schietse, John P. Eakins, Remco C. Veltkamp