Disparity and motion activity based mode prediction for fast mode decision in multiview video coding

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Abstract

Multiview video coding (MVC) uses exhaustive variable size block mode decision in motion estimation and disparity estimation to improve coding efficiency; however, it causes intensive computational complexity. A fast mode decision algorithm for the non-anchor pictures is proposed to lower computational complexity of MVC. In the proposed algorithm, mode decision is early terminated based on the inter-view mode correlation among neighboring views and motion activity predicted from motion information from checking previous macroblock mode. Experimental results show that the proposed fast mode decision algorithm achieves from 53.67 to 81.75% complexity reduction. Meanwhile, the peak signal-to-noise ratio degradation of the proposed algorithm is 0.046 dB on average and bit rate increases from-2.13% to 0.77%, which are negligible.

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Mao, D., Zhang, Y., Chen, Q., & Kwong, S. (2013). Disparity and motion activity based mode prediction for fast mode decision in multiview video coding. In The Era of Interactive Media (Vol. 9781461435013, pp. 177–187). Springer New York. https://doi.org/10.1007/978-1-4614-3501-3_15

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