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Adaptive mode decision for multiview video coding based on macroblock position constraint model

机译:基于宏块位置约束模型的多视图视频编码自适应模式决策

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摘要

Multiview video coding (MVC) exploits mode decision, motion estimation and disparity estimation to achieve high compression ratio, which results in an extensive computational complexity. This paper presents an efficient mode decision approach for MVC using a macroblock (MB) position constraint model (MPCM). The proposed approach reduces the number of candidate modes by utilizing the mode correlation and rate distortion cost (RD cost) in the previously encoded frames/views. Specifically, the mode correlations both in the temporal-spatial domain and the inter-view are modeled with MPCM. Then, MPCM is exploited to select the optimal prediction direction for the current encoding MB. Finally, the inter mode is early determined in the optimal prediction direction. Experimental results show that the proposed method can save 86.03 % of encoding time compared with the exhaustive mode decision used in the reference software of joint multiview video coding, with only 0.077 dB loss in Bjontegaard delta peak signal-to-noise ratio (BDPSNR) and 2.29 % increment of the total Bjontegaard delta bit rate (BDBR), which is superior to the performances of state-of-the-art approaches.
机译:多视图视频编码(MVC)利用模式决策,运动估计和视差估计来实现高压缩率,从而导致大量的计算复杂性。本文提出了一种使用宏块(MB)位置约束模型(MPCM)的MVC高效模式决策方法。所提出的方法通过利用先前编码的帧/视图中的模式相关性和速率失真成本(RD成本)来减少候选模式的数量。具体来说,时空域和视图间的模式相关都使用MPCM建模。然后,利用MPCM为当前编码MB选择最佳预测方向。最后,在最佳预测方向上尽早确定帧间模式。实验结果表明,与联合多视点视频编码参考软件中使用的穷举模式决策相比,该方法可节省86.03%的编码时间,比约旦加德河三角洲峰值信噪比(BDPSNR)仅损失0.077 dB, Bjontegaard增量比特率(BDBR)的总增量为2.29%,这优于最新方法的性能。

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