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Local binary pattern histogram (LBPH) is one of the popular and excellent image texture descriptor. However, conventional LBPH lacks of the description of spatial structure information. This paper proposes an extension of LBPH called Markov chain local binary patterns (MCLBP) to alleviate this limitation. We apply MCLBP to the task of TRECVID video concept detection. Experimental results demonstrate that MCLBP achieves significant performance improvement over conventional LBPH features and other widely used visual features such as Gabor texture.
Date of Conference: 12-15 Oct. 2008