Skip to main navigation Skip to search Skip to main content

Joint source and channel loss rate-distortion optimization using packet loss visibility for H.264

  • Ting Lan Lin
  • , Hsin Chin Lee
  • , Chin Chie Liao
  • , Wei Lin Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The video quality after source compression loss and communication channel loss is very important for user experience in consumer electronic. In this paper, we propose a rate-distortion optimization method considering not only source loss, but also channel loss. We modify the source Lagrangian function in the H.264 to further consider channel loss effects, measured by a packet loss visibility model. The experiment shows that compared to the H.264 standard, the proposed method can achieve better combined source-loss and channel-loss video quality, where the winning percentage in channel-loss video quality can be up to 90.63% compared to the standard.

Original languageEnglish
Title of host publication2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages580-581
Number of pages2
ISBN (Electronic)9781479951451
DOIs
StatePublished - 3 Feb 2014
Event2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 - Tokyo, Japan
Duration: 7 Oct 201410 Oct 2014

Publication series

Name2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014

Conference

Conference2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
Country/TerritoryJapan
CityTokyo
Period7/10/1410/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • H.264
  • Source and channel mode decision
  • packet loss visibility model
  • rate-distortion optimization

Fingerprint

Dive into the research topics of 'Joint source and channel loss rate-distortion optimization using packet loss visibility for H.264'. Together they form a unique fingerprint.

Cite this