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» Feature selection for content-based image retrieval
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MM
2005
ACM
178views Multimedia» more  MM 2005»
14 years 2 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
MMS
2008
13 years 8 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
GIS
2010
ACM
13 years 7 months ago
CBGIR: content-based geographic image retrieval
We describe and demonstrate CBGIR, a web-based system for performing content-based image retrieval in large sets of high-resolution overhead images. The system provides a familiar...
Shawn Newsam, Daniel Leung, Oscar Caballero, Justi...
ICCV
1998
IEEE
14 years 10 months ago
Retrieving Images by Appearance
A system to retrieve images using a description of the image intensity surface is presented. Gaussian derivative lters at several scales are applied to the image and low order 2D ...
S. Ravela, R. Manmatha
CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
14 years 1 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender