Semantic based image retrieval: a probabilistic approach
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Imagery-Based Digital Collection Retrieval on Web Using Compact Perception Features
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Beyond pixels: Exploiting camera metadata for photo classification
Pattern Recognition
IEEE Transactions on Image Processing
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Because the nature of the concepts regarding images in many domains are imprecise and can be overlapped, and also there is the gap between the ability of machine computation and the high level concepts of human perception, in this paper, we define the tolerance degree between semantic categories, and present a method of semantic-based image presentation using the tolerance relation model. We apply the proposed method to construct a tolerance relation-based semantic clustering algorithm of images. The decision rules, for the semantic categorization based on the concepts of nature vs. man-made, human vs. non-human, and the both of them, are given. The performance evaluations of the proposed methods are executed.