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» Mapping low-level image features to semantic concepts
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ESWA
2008
173views more  ESWA 2008»
13 years 7 months ago
Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps
Traditional content-based image retrieval (CBIR) systems often fail to meet a user's need due to the `semantic gap' between the extracted features of the systems and the...
Hsin-Chang Yang, Chung-Hong Lee
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 1 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
ICIP
2005
IEEE
14 years 9 months ago
Semantic discriminant mapping for classification and browsing of remote sensing textures and objects
We present a new approach based on Discriminant Analysis to map a high dimensional image feature space onto
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
CVPR
2004
IEEE
14 years 9 months ago
Hidden Semantic Concept Discovery in Region Based Image Retrieval
This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image ret...
Ruofei Zhang, Zhongfei (Mark) Zhang
ICIP
2001
IEEE
14 years 9 months ago
VISMap: an interactive image/video retrieval system using visualization and concept maps
Images and videos can be indexed by multiple features at different levels, such as color, texture, motion, and text annotation. Organizing this information into a system so that u...
William Chen, Shih-Fu Chang