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Evalvid-RASV: Shaped VBR rate adaptation stored video system

机译:Evalvid-RASV:异型VBR速率自适应存储视频系统

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Video traffic is a variable bit rates (VBR) data source in nature and it generates highly bursty traffic. Recent implementations mostly buffer the media source in order to regenerate it in the form of constant bit rates (CBR). Consequently, it will add more delays to the system and thus unable to support the original nature of the video data. Inspired by the works of Hamdi et al. [1] and Lie and Klaue [2], we developed Evalvid-RASV. This system is working on the VBR concept (open-loop video coding), but it is “shaped” so that it will not produce uncompromised bursty traffic without additional delay. With the knowledge of video characteristics in advance, Evalvid-RASV was developed to utilize the information resulting a better algorithm. In addition, we implemented the system in Evalvid-RA environment. It is an environment which is able to perform rate adaptation to the media data source and has an integrated video performance evaluation tools, especially user-perceived video quality. Our experiments have shown that Evalvid-RASV outperforms open-loop VBR in term Peak Signal Noise Ratio (PSNR) value and acceptable delay time.
机译:视频流量是自然界中的可变比特率(VBR)数据源,它会产生高度突发的流量。最近的实现主要是缓冲媒体源,以便以常量比特率(CBR)的形式重新生成它。因此,它将增加系统的更多延迟,因此无法支持视频数据的原始性质。灵感来自Hamdi等人的作品。 [1]和谎言和klaue [2],我们开发了evalvid-rasv。该系统正在研究VBR概念(开环视频编码),但它是“塑造”,以便在没有额外延迟的情况下不会产生无与伦比的突发流量。通过预先了解视频特性的知识,开发了RemalVID-RASV以利用导致更好的算法的信息。此外,我们在EvalVID-RA环境中实现了系统。它是能够对媒体数据源进行速率适应的环境,并且具有集成的视频性能评估工具,尤其是用户感知的视频质量。我们的实验表明,RemalVID-RASV在术语峰值信号噪声比(PSNR)值和可接受的延迟时间中占开放环VBR。

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