高效的SHVC密钥图像和单循环解码方案

K. Rapaka, Jianle Chen, M. Karczewicz
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引用次数: 1

摘要

多年来,可扩展视频编码一直是一个热门的研究课题。作为其主要目标之一,它旨在支持使用单个比特流通过网络结构连接的不同接收设备。HEVC的可扩展视频编码扩展,也称为SHVC,正在由ISO/IEC MPEG和ITU-T VCEG的视频编码联合协作小组(JCT-VC)开发。与以往标准化的可扩展视频编码技术相比,SHVC采用多环路解码设计,与HEVC相比,在任何给定层内都没有底层变化。有了这样一个简化的扩展,它的目标是解决以前的可伸缩扩展没有成功的一些问题,同时,它的目标是支持对SHVC的成功至关重要的所有设计特性。支持轻量级和精细可调的带宽适应是SHVC成功的重要设计特性之一。本文提出了一种新的SHVC质量可扩展性高级语法机制,以支持:(a)使用高质量层的解码图像作为低质量层图像和关键图像概念的参考,以减少漂移;(b)单循环解码设计,仅具有编码器约束,而不对正常的多循环解码过程引入任何规范的低级更改。基于SHVC参考软件(SHM 2.0)的实验结果表明,所提出的关键图像方法在多环框架下平均降低了2.9%的亮度帧率,平均降低了4.4%的亮度帧率,达到了单环解码的能力。
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Efficient key picture and single loop decoding scheme for SHVC
Scalable video coding has been a popular research topic for many years. As one of its key objectives, it aims to support different receiving devices connected through a network structure using a single bitstream. Scalable video coding extension of HEVC, also called as SHVC, is being developed by Joint Collaborative Team on Video Coding (JCT-VC) of ISO/IEC MPEG and ITU-T VCEG. Compared to previous standardized scalable video coding technologies, SHVC employs multi-loop decoding design with no low-level changes within any given layer compared to HEVC. With such a simplified extension it aims at solving some of the problems of previous scalable extensions that haven't been successful, and at the same time, aims at supporting all design features that are of vital importance for the success of SHVC. Supporting lightweight and finely tunable bandwidth adaptation is one such vital design feature important for the success of SHVC. This paper proposes novel high level syntax mechanism for SHVC quality scalability to support: (a) using the decoded pictures from higher quality layer as reference for lower layer pictures and key pictures concept to reduce drift; (b) single loop decoding design with encoder only constraints without introducing any normative low-level changes to the normal multi-loop decoding process. Experimental results based on SHVC reference software (SHM 2.0) show that the proposed key picture method achieves an average of 2.9% luma BD-rate reduction in multi-loop framework and an average of 4.4% luma BD-rate loss to attain the capability of single loop decoding.
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