Abstract
Content Based Image Retrieval (CBIR) has been a very active research area recently and there has been so much research efforts addressing this issue nowadays. In this paper, we give an introduction of many of existing descriptors of images for CBIR and the principle of Bayesian classifier firstly. Then we represent the comparisons of different descriptors in image retrieval based on Bayesian classifier. Finally, an in-depth analysis of different descriptors is given.
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Pingyang, N., Jia, W., Junzun, Z. (2012). An Experimental Comparison of Different Features for Image Retrieval Based on Bayesian Classifier. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25781-0_27
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DOI: https://doi.org/10.1007/978-3-642-25781-0_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25780-3
Online ISBN: 978-3-642-25781-0
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