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Gradual view refresh in depth-enhanced multiview video

机译:深度增强的多视图视频中的逐步视图刷新

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摘要

Depth-enhanced multiview video, such as the multiview video plus depth (MVD) format, can be used to provide displaying-time view adjustment capability through depth-image-based rendering (DIBR) and additional compression improvement compared to the Multiview Video Coding standard. In this paper a gradual view refresh (GVR) method is presented to code random access points and provide fast startup in streaming for MVD bitstreams. When decoding is started from a GVR point, a subset of the views can be accurately decoded, while the remaining views can be approximately reconstructed using DIBR. Perfect reconstruction of all views can be reached at a subsequent random access point. The GVR coding was found to be effective with up to 10% bitrate reduction for sequences with static camera arrangement. The use of GVR for fast startup in video streaming was found to be clearly superior to transmitting a MVD bitstream conventionally from rate-distortion point of view. It has been found in earlier studies that there seems to be a delay from stimulus onset until depth is fully perceived, hence giving a reason to believe that accurate reconstruction of all views might not be necessary immediately after starting decoding. Furthermore, it was observed in this paper that the objective picture quality reduction during GVR was only moderate, verifying the applicability of the presented GVR method.
机译:深度增强的多视图视频,例如多视图视频加深度(MVD)格式,可用于通过基于深度图像的渲染(DIBR)提供显示时间视图调整功能,并且与多视图视频编码标准相比,压缩性能得到了改善。本文提出了一种渐进式视图刷新(GVR)方法来对随机访问点进行编码,并为MVD比特流提供快速启动。当从GVR点开始解码时,可以正确解码视图的子集,而其余视图可以使用DIBR进行近似重建。在随后的随机访问点可以实现所有视图的完美重建。对于采用静态摄像机布置的序列,发现GVR编码可有效降低10%的比特率。从速率失真的角度来看,发现在视频流中使用GVR快速启动明显优于传统上传输MVD比特流。在较早的研究中发现,从刺激开始到完全感知到深度似乎存在延迟,因此给出了一个理由,即认为在开始解码后可能不需要立即对所有视图进行精确重建。此外,在本文中观察到,GVR期间客观的图像质量降低仅是中等程度,证明了所提GVR方法的适用性。

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