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引用次数: 2
摘要
本文主要研究基于最新H.264/MVC视频编码标准的低延迟3D视频通信的率失真优化问题。第一部分提出了一种新的低复杂度的失真估计模型,适用于低延迟的立体视频通信场景,如3D视频会议。研究了给定帧的丢失所带来的失真,并设计了一个模型,以便准确地估计每一帧的丢失对未来帧的影响。然后将该模型应用于一个速率失真优化框架中,用于在通用qos支持的网络上进行视频通信。仿真结果表明,与仅基于帧依赖信息的传统先验技术相比,该方法的性能提高了1.7 dB PSNR。此外,性能被证明是一致的接近一个具有完美的知识未来帧的失真特性的先见之明的技术。
Rate-distortion optimized low-delay 3D video communications
This paper focuses on the rate-distortion optimization of low-delay 3D video communications based on the latest H.264/MVC video coding standard. The first part of the work proposes a new low-complexity model for distortion estimation suitable for low-delay stereoscopic video communication scenarios such as 3D videoconferencing. The distortion introduced by the loss of a given frame is investigated and a model is designed in order to accurately estimate the impact that the loss of each frame would have on future frames. The model is then employed in a rate-distortion optimized framework for video communications over a generic QoS-enabled network. Simulations results show consistent performance gains, up to 1.7 dB PSNR, with respect to a traditional a priori technique based on frame dependency information only. Moreover, the performance is shown to be consistently close to the one of the prescient technique that has perfect knowledge of the distortion characteristics of future frames.