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» Feature selection for content-based image retrieval
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MIR
2006
ACM
223views Multimedia» more  MIR 2006»
14 years 1 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
CIVR
2007
Springer
112views Image Analysis» more  CIVR 2007»
14 years 1 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
IMCSIT
2010
13 years 5 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...
ICIP
2006
IEEE
14 years 9 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
ICIP
2002
IEEE
14 years 9 months ago
Content-based image retrieval using stochastic paintbrush transformation
Herein, we propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure : Unlike traditional features like color, t...
Zoltan Kato, Xiaowen Ji, Tamas Sziranyi, Zoltan To...