结合流交换和细粒度流内自适应视频流

Michael Kropfberger, H. Hellwagner
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引用次数: 1

摘要

在最佳努力网络中的视频流系统必须以某种方式处理动态变化的带宽。各种可扩展的视频编解码器允许使用时间,空间或质量(信噪比)可扩展性的流内适应;细粒度可伸缩性的优化可以通过分层编码和FGS技术来实现。然而,如果手头没有可扩展的视频流,在不同比特率和质量的预编码流版本之间进行流切换至少允许粗粒度的适应。这些不同的方法竞相成为最有效的自适应视频流解决方案。然而,本文将表明,通过结合这些方法,疗效显着提高。正如将讨论的那样,粗粒度流切换和临时流内适应的组合提供了更好的视觉结果和更稳定的客户端缓冲区行为,而不是单独使用的表示方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining Stream Switching with Fine-Grained Intra-Stream Adaptation for Adaptive Video Streaming
Video streaming systems in best effort networks have to somehow cope with dynamically changing bandwidth. Various scalable video codecs allow intra-stream adaptation by use of temporal, spatial, or quality (SNR) scalability; optimizations for finer grained scalability are available as layered coding and FGS techniques. However, if there is no scalable video stream at hand, stream switching among pre-encoded stream versions of different bitrates and qualities allows at least coarse-grained adaptation. Those different approaches compete to be the most efficient solution for adaptive video streaming. However, this paper will show that the efficacy is significantly increased by combining those approaches. As will be discussed, the combination of coarse-grained stream switching and temporal intra-stream adaptation offers better visual results and more stable client buffer behavior than the denoted approaches used separately
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