Semantic feature extraction using genetic programming in image retrieval

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Reference

Qingyong Li and Hong Hu and Zhongzhi Shi: Semantic feature extraction using genetic programming in image retrieval. Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Vol. 1, pp. 648-651, August 2004.

DOI

http://dx.doi.org/10.1109/ICPR.2004.1334248

Abstract

One of the big hurdles facing current content-based image retrieval (CBIR) is the semantic gap between the low-level visual features and the high-level semantic features. We proposed an approach to describe and extract the global texture semantic features. According to the Tamura texture model, we utilize the linguistic variable to describe the texture semantics, so it becomes possible to depict the image in linguistic expression such as coarse, fine. We use genetic programming to simulate the human visual perception and extract the semantic features value. Our experiments show that the semantic features have good accordance with the human perception, and also have good retrieval performance. In some extent, our approach bridges the semantic gap in CBIR.

Extended Abstract

Bibtex

Used References

Hideyuki Tamura, Shunji Mod, and Takashi Yamawaki, Texture features corresponding to visual perception, IEEE Trans. On Sys. Man, and Cyb, SMC8(6), 1978. http://dx.doi.org/10.1109/TSMC.1978.4309999

Zadeh. The Concept of Linguistic variable and its application to approximate reasoning I II III [J]. Information Sciences 1975

Koza JR. Genetic Programming II: Automatic Discovery of Reusable Programs [M]. Cambridge, MA: MIT Press. 1994.

W AI-Khatib, Y F Day, A Ghafoor et al. Semantic modeling and knowledge representation in multimedia databases. IEEE Trans on Knowledge and Data Engineering, 1999, 11(1):64-80 http://dx.doi.org/10.1109/69.755616

D Navon. Forest before trees: The precedence of global features in visual perception. Cognitive Psychology, 1977, 9(3): 353-383 http://dx.doi.org/10.1016/0010-0285(77)90012-3

Hualin Wan, et al. A New Texture Spectrum Descriptor and Its Application In Image Semantic Classification. In Proc of the 17th International Conference on Computers and Their Applications, San Francisco, California, USA, 2002.

P. Brodatz, "Textures: A photographic album for artists & designers," Dover, NY, 1966


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