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» Low-Level Image Segmentation Based Scene Classification
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FLAIRS
2003
13 years 5 months ago
Low Level Fusion of Imagery Based on Dempster-Shafer Theory
An approach to fuse multiple images based on Dempster-Shafer evidential reasoning is proposed in this article. Dempster-Shafer theory provides a complete framework for combining w...
Xiaohui Yuan, Jian Zhang 0007, Xiaojing Yuan, Bill...
CVPR
2004
IEEE
13 years 8 months ago
A Probabilistic Approach to Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues
Automatic image orientation detection for natural images is a useful, yet challenging research area. Humans use scene context and semantic object recognition to identify the corre...
Jiebo Luo, Matthew R. Boutell
CVPR
2005
IEEE
13 years 10 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
ECCV
2008
Springer
14 years 6 months ago
Determining Patch Saliency Using Low-Level Context
The increased use of context for high level reasoning has been popular in recent works to increase recognition accuracy. In this paper, we consider an orthogonal application of con...
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
ICVGIP
2004
13 years 5 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri