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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2005
IEEE
16 years 1 months ago
Semantic kernel learning for interactive image retrieval
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
Philippe Henri Gosselin, Matthieu Cord
CONTEXT
2007
Springer
15 years 6 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
MEDINFO
2007
266views Healthcare» more  MEDINFO 2007»
15 years 1 months ago
Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
Jayashree Kalpathy-Cramer, William R. Hersh
MIR
2010
ACM
325views Multimedia» more  MIR 2010»
15 years 1 months ago
A classification-driven similarity matching framework for retrieval of biomedical images
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
ISCAS
2008
IEEE
171views Hardware» more  ISCAS 2008»
15 years 6 months ago
Statistical image modeling using von Mises distribution in the complex directional wavelet domain
— In this paper, a new statistical model is proposed for modeling the nature images in the transform domain. We demonstrate that the von Mises distribution (VM) fits accurately ...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen