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Fine granularity scalability video coding algorithm

机译:细粒度可伸缩性视频编码算法

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摘要

Video streaming over the Internet has become a hotspot in the past few years. Based on the analysis of SNR scalability, FGS and PFGS, a novel fine granularity scalability video coding algorithm is proposed. The performance of the IPPP and IBBP cases are reviewed to demonstrate the impact of the drift effect to the layered video coding algorithm. Two new video coding approaches, namely drift free scalability and drift constrained scalability are presented to minimize the effect of drift. For the lack of prediction in the enhancement layer, the coding efficiency of the former is not very satisfying. Whereas the latter significantly improves the coding performance compared to the DFS coding scheme. While, both of them keep the inherit characteristics such as automatically adapting to the fluctuation of the network bandwidth and resilience to the packet loss.
机译:视频流在互联网上已经成为过去几年的热点。基于SNR可伸缩性,FGS和PFG的分析,提出了一种新型细粒度可伸缩性视频编码算法。审查了IPPP和IBBP案件的性能,以证明漂移效应对分层视频编码算法的影响。提出了两种新的视频编码方法,即漂移的可扩展性和漂移约束可扩展性,以最小化漂移的效果。为了在增强层缺乏预测,前者的编码效率不是很令人满意。与DFS编码方案相比,后者显着提高了编码性能。虽然,它们都保持继承的特性,例如自动适应网络带宽的波动,并弹出到数据包丢失。

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