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

Akshay Pulipaka, Patrick Seeling, Martin Reisslein, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2010 7th IEEE Consumer Communications and Networking Conference, CCNC 2010
DOIs
StatePublished - Apr 29 2010
Event2010 7th IEEE Consumer Communications and Networking Conference, CCNC 2010 - Las Vegas, NV, United States
Duration: Jan 9 2010Jan 12 2010

Publication series

Name2010 7th IEEE Consumer Communications and Networking Conference, CCNC 2010

Other

Other2010 7th IEEE Consumer Communications and Networking Conference, CCNC 2010
CountryUnited States
CityLas Vegas, NV
Period1/9/101/12/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Overview and traffic characterization of coarse-grain quality scalable (CGS) H.264 SVC encoded video'. Together they form a unique fingerprint.

Cite this