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Robust Transmission of Scalable Video Coding Bitstream Over Heterogeneous Networks

机译:异构网络上可伸缩视频编码比特流的稳健传输

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摘要

Video transmission using Scalable Video Coding (SVC) enables the functionalities of adaptation for both channel bandwidth and terminal device. However, link adaptation, which requires the video bitstream to provide error resilient scalability (ERS), is currently not supported in SVC. In this paper, we propose a robust SVC bitstream transmission framework, which integrates both error resilient (ER) coding and error concealment (EC) to enable the desired link adaptability. First, at the encoder, we design an ER coding scheme for SVC using redundant pictures, in which redundant picture information (RPI) is generated under rate-distortion criteria and transmitted to the media gateway together with the SVC bitstream. Then, ERS can be effectively achieved at the media gateway by selectively adding or removing coded pictures of different video coding layers according to the RPI and current network link status. Finally, at the decoder, we take advantage of the unique characteristics of SVC to develop an EC scheme based on both the proposed Virtual-BLSkip method and Wiener filtering to recover the lost or removed enhancement layer pictures. The proposed framework has negligible impact on the coding efficiency because it transmits RPIs rather than directly adding redundancy into the original bitstream. More importantly, it successfully strikes a balance between coding efficiency, error resiliency, and operation complexity. It is capable of providing the desired ERS with extremely low complexity, and maintaining virtually the same bit rate as input video bitstream. The experimental results show that the proposed framework achieves significant performance gains over existing ER transmission schemes.
机译:使用可伸缩视频编码(SVC)的视频传输可实现针对信道带宽和终端设备的自适应功能。但是,SVC当前不支持要求视频比特流提供纠错可伸缩性(ERS)的链路自适应。在本文中,我们提出了一个健壮的SVC比特流传输框架,该框架集成了错误恢复(ER)编码和错误隐藏(EC)两者,以实现所需的链路适应性。首先,在编码器上,我们设计了使用冗余图片的SVC的ER编码方案,其中,冗余图片信息(RPI)在速率失真标准下生成,并与SVC比特流一起传输到媒体网关。然后,可以根据RPI和当前网络链接状态,通过选择性地添加或删除不同视频编码层的编码图片,在媒体网关处有效地实现ERS。最后,在解码器处,我们利用SVC的独特特性,基于提出的Virtual-BLSkip方法和Wiener滤波来开发EC方案,以恢复丢失或去除的增强层图片。所提出的框架对编码效率的影响可以忽略不计,因为它传输RPI而不是直接向原始比特流添加冗余。更重要的是,它成功地在编码效率,错误恢复能力和操作复杂性之间取得了平衡。它能够以极低的复杂度提供所需的ERS,并保持与输入视频比特流几乎相同的比特率。实验结果表明,与现有的ER传输方案相比,该框架取得了显着的性能提升。

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