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Joint texture and depth coding using cuboid data compression

机译:使用长方体数据压缩的联合纹理和深度编码

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The latest multiview video coding (MVC) standards such as 3D-HEVC and H.264/MVC normally encodes texture and depth videos separately. Significant amount of rate-distortion performance and computational performance are sacrificed due to separate encoding due to the lack of exploitation of joint information. Obviously, separate encoding also creates synchronization issue for 3D scene formation in the decoder. Moreover, the hierarchical frame referencing architecture in the MVC creates random access frame delay. In this paper we develop an encoder and decoder framework where we can encode texture and depth video jointly by forming and encoding 3D cuboid using high dimensional entropy coding. The results from our experiments show that our proposed framework outperforms the 3D-HEVC in rate-distortion performance and reduces the computational time significantly by reducing random access frame delay.
机译:最新的多视图视频编码(MVC)标准(例如3D-HEVC和H.264 / MVC)通常分别对纹理和深度视频进行编码。由于缺乏联合信息的利用,由于单独的编码,牺牲了大量的速率失真性能和计算性能。显然,单独的编码还会为解码器中的3D场景形成带来同步问题。此外,MVC中的分层帧引用体系结构会创建随机访问帧延迟。在本文中,我们开发了一种编码器和解码器框架,在其中可以通过使用高维熵编码来形成和编码3D长方体来共同对纹理和深度视频进行编码。我们的实验结果表明,我们提出的框架在速率失真性能方面优于3D-HEVC,并通过减少随机访问帧延迟显着减少了计算时间。

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