Improvements to multiple FGS layers coding for low-delay applications.pdfVIP

Improvements of Multiple FGS Layers Coding for Low-Delay Applications in SVC Yanyan Zheng*1, Xiangyang Ji1, Feng Wu2, Debin Zhao1, Wen Gao1 1Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 2Microsoft Research Asia, Beijing, China ABSTRACT For low-delay applications in Scalable Video Coding, there are two alternative coding strategies based on AR-FGS for compressing multiple FGS layers. However, their coding efficiencies both suffer largely from the inherent drifting errors. In this paper, a more efficient multiple FGS layers coding structure is presented, which can provide higher coding performance within wide bitrate range and stronger error resilience. This is achieved by incorporating the partial- reconstructed enhancement layer references, instead of the complete-reconstructed ones, into the motion-compensated prediction loop of the FGS layers. Thereupon the prediction drift can be effectively decreased, especially for the middle bitrate points. Further, through selecting different-quality enhancement layer references generated with cycle-based reconstruction mechanism, more flexible video quality can be supported to be more suitable for varied practical application requirements. Keywords: FGS, SVC, leaky, low delay, error resilience, partial reconstruction 1. INTRODUCTION The transmission of multimedia data over wireless channels or Internet has high probability to encounter bandwidth fluctuation and packet loss/error. To address such kind of problems, the bit-plane coding based MPEG-4 FGS [1] is first utilized, whose key feature of error resiliency is attained at the expense of lower coding performance compared to that of the non-scalable coding scheme, because no SNR enhancement layer information is introduced into the temporal prediction loop of either the base layer or the enhancement layer. Therefore, in order to improve the compression efficiency for the emerging standard JVT SVC [2], tempor