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A fast depth map coding method based on optimized modes decision

机译:基于优化模式决策的深度图快速编码方法

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摘要

Multiview video plus depth (MVD) has been widely used recently as the representation of 3D scenes. Due to the tremendous data volume, transmission of MVD sequences becomes difficult especially under networks circumstance. Hence, an efficient 3D video coding scheme is required to compress the video data. In this paper, a fast depth map coding method based on optimized inter-frame modes decision in H.264/AVC is proposed to improve the coding efficiency of depth maps. In our study, depth maps are divided into edge, foreground and background parts. For each part, the distribution of inter-frame modes is measured among sequences and only the most frequently used modes are selected as the candidate modes. Based on the statistic results, different modes decision strategies are applied to those three parts during coding process. Experiments show that the proposed method saves up to 76% coding time with negligible PSNR loss and bit rate overhead.
机译:多视点视频加深度(MVD)最近已被广泛用作3D场景的表示。由于庞大的数据量,MVD序列的传输变得困难,尤其是在网络环境下。因此,需要有效的3D视频编码方案来压缩视频数据。为了提高深度图的编码效率,提出了一种基于优化的H.264 / AVC帧间模式决策的深度图编码方法。在我们的研究中,深度图分为边缘,前景和背景部分。对于每个部分,在序列之间测量帧间模式的分布,并且仅选择最常用的模式作为候选模式。根据统计结果,在编码过程中对这三个部分采用不同的模式决策策略。实验表明,该方法节省了多达76%的编码时间,而PSNR损失和比特率开销却可以忽略不计。

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