Image retrieval based on semantics of intra-region color properties
Sajjanhar, Atul, Luo, Guojun, Zhang, Dengsheng, Zhou, Wanlei and Chen, Yi-Ping Phoebe 2008, Image retrieval based on semantics of intra-region color properties, in CIT 2008: Proceedings of 2008 IEEE 8th International Conference on Computer and Information Technology, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 338-343.
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IEEE International Conference on Computer and Information Technology
Start page
338
End page
343
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication
Piscataway, N.J.
Summary
Traditional image retrieval systems are content based image retrieval systems which rely on low-level features for indexing and retrieval of images. CBIR systems fail to meet user expectations because of the gap between the low level features used by such systems and the high level perception of images by humans. Semantics based methods have been used to describe images according to their high level features. In this paper, we performed experiments to identify the failure of existing semantics-based methods to retrieve images in a particular semantic category. We have proposed a new semantic category to describe the intra-region color feature. The proposed semantic category complements the existing high level descriptions. Experimental results confirm the effectiveness of the proposed method.
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