Textural complexity-based rate control algorithm

Gwo-Giun Lee, He Yuan Lin, Ming Jiun Wang

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

Abstract

This paper presents an efficient rate control algorithm based on our content-adaptive initial quantization parameter setting scheme for H.264/AVC. For versatile video scenes, our algorithm can adaptively set an appropriate initial QP based on the textural complexity estimated from the first picture. In addition, our bitallocation strategy effectively distributes the bit-rate budget based on the monotonic property to enhance the coding efficiency. Our proposed algorithm surpasses JVT-H014 rate control algorithm and Cauchy-density-based bit-allocation scheme in terms of average PSNR for about 0.47 dB and 0.81 dB respectively. Besides, our algorithm provides more impressive visual quality and more robust buffer controllability.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
Pages1109-1112
Number of pages4
DOIs
Publication statusPublished - 2008 Oct 23
Event2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Hannover, Germany
Duration: 2008 Jun 232008 Jun 26

Publication series

Name2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Other

Other2008 IEEE International Conference on Multimedia and Expo, ICME 2008
CountryGermany
CityHannover
Period08-06-2308-06-26

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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  • Cite this

    Lee, G-G., Lin, H. Y., & Wang, M. J. (2008). Textural complexity-based rate control algorithm. In 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings (pp. 1109-1112). [4607633] (2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings). https://doi.org/10.1109/ICME.2008.4607633