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» Mapping low-level image features to semantic concepts
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SIGIR
2003
ACM
14 years 24 days ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
CGF
2008
137views more  CGF 2008»
13 years 7 months ago
Interaction-Dependent Semantics for Illustrative Volume Rendering
In traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of the artist. For illustrative volume visualizations it is diffic...
Peter Rautek, Stefan Bruckner, M. Eduard Gröl...
ICIP
2005
IEEE
14 years 1 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
MMSP
2008
IEEE
178views Multimedia» more  MMSP 2008»
14 years 1 months ago
Semantic saliency driven camera control for personal remote collaboration
—This paper presents a camera combo system for personal remote collaboration applications. The system consists of two different cameras. One camera has a wide field of view, and...
Cha Zhang, Zicheng Liu, Zhengyou Zhang, Qi Zhao
SIGIR
2008
ACM
13 years 7 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang