Adaptive GOP structure determination in hierarchical B picture coding for the extension of H.264/AVC

Hung Wei Chen*, Chia Hung Yeh, Ming Chieh Chi, Ching Ting Hsu, Mei Juan Chen

*Corresponding author for this work

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

Abstract

The hierarchical B-picture coding is introduced into the extension of H.264/AVC in order to improve coding performance and provide strong temporal scalability as well. In general, coding performance is affected by the content variation in GOP. Therefore, the ways to determine the size of GOP (Group of Picture) is a critical problem for video coding. In this paper, the adaptive GOP structure determination scheme is proposed to select the appropriate GOP size with content complexity consideration. Experimental results show that the proposed method can provide better PSNR performance compared to the highest GOP setting in the existing hierarchical B-picture coding of H.264/AVC.

Original languageEnglish
Title of host publication2008 International Conference on Communications, Circuits and Systems Proceedings, ICCCAS 2008
Pages697-701
Number of pages5
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 International Conference on Communications, Circuits and Systems, ICCCAS 2008 - Xiamen, Fujian Province, China
Duration: 2008 May 252008 May 27

Publication series

Name2008 International Conference on Communications, Circuits and Systems Proceedings, ICCCAS 2008

Conference

Conference2008 International Conference on Communications, Circuits and Systems, ICCCAS 2008
Country/TerritoryChina
CityXiamen, Fujian Province
Period2008/05/252008/05/27

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Adaptive GOP structure determination in hierarchical B picture coding for the extension of H.264/AVC'. Together they form a unique fingerprint.

Cite this