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Video Compression Using 3D Multiscale Recurrent Patterns

Francisco, N. ; Rodrigues, Nuno M. M. ; Silva, E. ; Carvalho, M. ; Faria, S.M.M.

Video Compression Using 3D Multiscale Recurrent Patterns, Proc IEEE International Symp. on Circuits and Systems - ISCAS, Beijing, China, Vol. 1, pp. 1412 - 1415 -, May, 2013.

Digital Object Identifier: 10.1109/ISCAS.2013.6572120


In this paper, we propose a new 3D pattern matching based video compression algorithm. Spatiotemporal prediction tools are used to exploit both the temporal and the spatial redundancies, and the resulting residue is encoded using a 3D data coding extension of the Multidimensional Multiscale Parser (MMP) algorithm. MMP was originally proposed as a generic lossy data compression algorithm. A high degree of adaptivity and versatility allowed it to be competitive with state-of-the-art transform-based compression methods for a wide range of applications and data sets. The performance of the proposed algorithm is compared with that of H.264/AVC, achieving close results for some data sets, which indicates the potential of the pattern matching paradigm as an alternative to the traditional hybrid video codecs.