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Allowable depth distortion based fast mode decision and reference frame selection for 3D depth coding

机译：基于允许深度失真的快速模式决策和3D深度编码的参考帧选择

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摘要

To improve the coding efficiency and meanwhile reduce the complexity of the depth video encoder in 3D system, we present an efficient depth coding scheme based on the allowable depth distortion (ADD) in view synthesis. Firstly, we analyze the depth distortion in view synthesis and present a new ADD-based Rate Distortion (RD) optimization cost function to improve the mode/reference decision criteria. Then, we present an early mode and reference frame selection algorithm, which skips the unnecessary and complex mode and reference frame when the depth distortion is within the ADD interval. Meanwhile, the coding efficiency is improved by RD optimized mode decision and reference frame selection. The experimental results show that the proposed overall algorithm, which integrates the fast mode decision, reference frame selection and RD optimization, can reduce the depth coding complexity from 32.47 to 72.59, and 55.95 % on average over different test sequences. Meanwhile, the proposed algorithm achieves 1.34 and 1.58 dB average Bjontegaard Delta peak signal-to-noise ratio gain in terms of the view synthesis quality at low and high bit rate, respectively. In terms of the bit rate reduction, it reduces 54.66 and 49.60 % Bjontegaard Delta bit rate on average at low and high bit rate, respectively, while maintaining the same view synthesis image quality.
机译：为了提高编码效率并同时降低3D系统中深度视频编码器的复杂度，我们在视图合成中提出了一种基于允许深度失真（ADD）的有效深度编码方案。首先，我们在视图合成中分析深度失真，并提出了一种新的基于ADD的速率失真（RD）优化成本函数，以改进模式/参考决策标准。然后，我们提出了一种早期模式和参考帧选择算法，当深度失真在ADD间隔内时，该算法会跳过不必要和复杂的模式和参考帧。同时，通过RD优化模式判定和参考帧选择来提高编码效率。实验结果表明，该算法集快速模式决策，参考帧选择和RD优化于一体，在不同的测试序列下，可以将深度编码复杂度从32.47降低到72.59，平均降低55.95％。同时，就低比特率和高比特率下的视图合成质量而言，该算法分别实现了1.34 dB和1.58 dB的平均Bjontegaard Delta峰值信噪比增益。在降低比特率方面，在保持相同的视图合成图像质量的同时，它分别在低和高比特率下平均降低了54.66％和49.60％的Bjontegaard Delta比特率。

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