30 October 2009 A feedforward control idea for CBIR using obvious features
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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.
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Xingfeng Chen, Xingfeng Chen, Xingfa Gu, Xingfa Gu, Jiping Chen, Jiping Chen, Tao Yu, Tao Yu, Yun Liu, 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); doi: 10.1117/12.833043; https://doi.org/10.1117/12.833043
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