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This paper proposes a general framework called Markov stationary features (MSF) to extend histogram based features. The MSF characterizes the spatial co-occurrence of histogram patterns by Markov chain models, and finally yields a compact feature representation through Markov stationary analysis. Therefore, the MSF goes one step beyond histograms since it now involves spatial structure information of both within histogram bins and between histogram bins. Moreover, it still keeps simplicity,doi:10.1109/cvpr.2008.4587839 dblp:conf/cvpr/LiWWZ08 fatcat:2eftopz7nzgdhox6nptd2nm57e