Overview and traffic characterization of coarse-grain quality scalable (CGS) h.264 SVC encoded video

  • Authors:

  • Akshay Pulipaka;Patrick Seeling;Martin Reisslein;Lina J. Karam

  • Affiliations:

  • School of Electrical, Computer, and Energy Engineering, Arizona State University, Goldwater Center, MC, Tempe, AZ;University of Wisconsin-Stevens Point, Stevens Point, WI;School of Electrical, Computer, and Energy Engineering, Arizona State University, Goldwater Center, MC, Tempe, AZ;School of Electrical, Computer, and Energy Engineering, Arizona State University, Goldwater Center, MC, Tempe, AZ

  • Venue:
  • CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
  • Year:
  • 2010

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Abstract

The Scalable Video Coding extension (SVC) of the H.264/AVC standard is widely considered for IPTV. SVC supports a variety of scalability modes, including temporal, spatial as well as coarse-grain and medium-grain quality scalabilities. In this paper, we first give an overview of Coarse-Grain quality Scalability (CGS). We generate traces of CGS encodings of long CIF resolution video sequences; the traces provide a simple yet effective characterization of CGS encoded video for performance evaluation of video transport systems, including IPTV systems. We conduct a detailed statistical analysis of the CGS video traces. We compare the bit rate-distortion (RD) and the bit rate variability-distortion (VD) performances of scalable CGS encodings with those of non-scalable SVC single layer encodings. We thus quantify the tradeoff between the rate adaptability afforded by CGS encoding and the cost in terms of RD efficiency compared to non-scalable single-layer video.