A new rate-quantization model for H.264/AVC low-delay rate control

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

3 Scopus Citations
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Author(s)

  • Junhui Hou
  • Shuai Wan
  • Zhan Ma
  • Fuzheng Yang
  • Lap-Pui Chau

Detail(s)

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2012
Subtitle of host publication13th Pacific-Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Pages492-500
Volume7674 LNCS
ISBN (Print)9783642347771
Publication statusPublished - 2012
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7674 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title13th Pacific-Rim Conference on Multimedia, PCM 2012
PlaceSingapore
CitySingapore
Period4 - 6 December 2012

Abstract

In this paper, we present a new rate-quantization (R-Q) model for H.264/AVC low-delay rate control. Our rate model is a power function of the quantization stepsize, which is derived through theoretical analysis assuming the Laplacian distributed source. Model parameters are content adaptive and updated frame by frame. Proposed R-Q model is implemented on H.264/AVC reference software JM17.2 to evaluate the performance, where accurate quantization stepsize is selected for each frame according to the target bit rate. As compared to the most recent published work [5] and well-known R-Q model adopted in JM [13], we have shown that almost 2x performance improvement in terms of the bits mismatch error. © 2012 Springer-Verlag.

Research Area(s)

  • H.264/AVC, low-delay rate control, Rate-quantization model

Citation Format(s)

A new rate-quantization model for H.264/AVC low-delay rate control. / Hou, Junhui; Wan, Shuai; Ma, Zhan; Yang, Fuzheng; Chau, Lap-Pui.

Advances in Multimedia Information Processing, PCM 2012: 13th Pacific-Rim Conference on Multimedia, Proceedings. Vol. 7674 LNCS Springer Verlag, 2012. p. 492-500 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7674 LNCS).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review