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H.264/AVC-to-SVC temporal video transcoder for video broadcasting in wireless networks

机译:用于无线网络中视频广播的H.264 / AVC-to-SVC时间视频代码转换器

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摘要

Over the last few decades multimedia usage has changed dramatically, with networks and terminals of diverse bandwidths and capabilities coexisting. To ensure a good quality of experience, this diverse environment requires adaptability of the video stream. If video streams were compressed using Scalable Video Coding (SVC) schemes, they would be able to adapt to these heterogeneous networks and a wide range of terminals. However, since the majority of multimedia contents are compressed using H.264/AVC, they cannot benefit from this scalability. This paper makes some proposals for improving a temporal H.264/AVC-to-SVC video transcoder so that it can convert an H.264/AVC bitstream without scalability to scalable bitstreams with temporal scalability. The idea behind the proposed transcoder is to accelerate interprediction, focusing on reducing the coding complexity of the mode decision and motion estimation tasks of the encoder stage by using information available after the H.264/AVC decoding stage. To accelerate the mode decision task, a decision tree for narrowing down the Macroblock (MB) types to be checked by the SVC encoder has been developed. On the other hand, to accelerate the motion estimation task, a reduced area is created dynamically for every MB and sub-MB. Moreover, time savings increase considerably when both proposals are adjusted to work together, as opposed to doing so in an isolated way. The results show that when our joint proposal is applied, the complexity is reduced by 98 % while maintaining coding efficiency.
机译:在过去的几十年中,多媒体的使用发生了巨大变化,不同带宽和功能的网络和终端共存。为了确保良好的体验质量,这种多样化的环境要求视频流具有适应性。如果使用可伸缩视频编码(SVC)方案压缩视频流,它们将能够适应这些异构网络和广泛的终端。但是,由于大多数多媒体内容都是使用H.264 / AVC压缩的,因此它们无法从此可伸缩性中受益。本文提出了一些改进临时H.264 / AVC-to-SVC视频转码器的建议,以便它可以将H.264 / AVC比特流转换为具有时间可伸缩性的可伸缩比特流,而无需进行伸缩。所提出的代码转换器背后的思想是加速帧间预测,重点是通过使用H.264 / AVC解码阶段之后可用的信息来降低编码器阶段的模式决策和运动估计任务的编码复杂度。为了加速模式判定任务,已经开发出用于缩小由SVC编码器检查的宏块(MB)类型的判定树。另一方面,为了加速运动估计任务,为每个MB和子MB动态创建一个减小的区域。此外,相对于孤立地进行调整,将两个提案调整为可以一起工作时,可以节省大量时间。结果表明,采用我们的联合建议后,在保持编码效率的同时,复杂度降低了98%。

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