A feedforward control idea for CBIR using obvious features

Xingfeng Chen; Xingfa Gu; Jiping Chen; Tao Yu; Yun Liu

doi:10.1117/12.833043

30 October 2009 A feedforward control idea for CBIR using obvious features

Xingfeng Chen, Xingfa Gu, Jiping Chen, Tao Yu, Yun Liu

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74954Q (2009) https://doi.org/10.1117/12.833043
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

CBIR (Content-Based Image Retrieval), which includes feature selection, feature extraction, similarity measurement and user feedback parts, often uses feedback to improve the retrieval accuracy. But there are two problems of Feedback: 1) improving the retrieval accuracy, but also increasing the user's operation complexity; 2) it is not easy to confirm the weight values of each feature in similarity measurement. In this paper, a feedforward idea from Control Theory was used in CBIR system. The method is to select an obvious feature automatically from multi-features, and then give a higher weight value to the obvious feature in the similarity measurement. Experiment results show that the method presented is efficient in image retrieval based on feedforward idea.

Citation Download Citation

Xingfeng Chen, Xingfa Gu, Jiping Chen, Tao Yu, and Yun Liu "A feedforward control idea for CBIR using obvious features", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954Q (30 October 2009); https://doi.org/10.1117/12.833043

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