Improved frame level MAD prediction and bit allocation scheme for H.264/AVC rate control

Xuan Jing, Lap Pui Chau

Research output: Journal article publicationConference articleAcademic researchpeer-review

8 Citations (Scopus)


In this paper, we present an improved frame level mean absolute difference (MAD) prediction model for H.264/AVC rate control. Based on the histogram information of successive frames, the MAD of current frame can be accurately estimated. Instead of only using buffer status in the frame target bits allocation process, we also take into consideration the frame complexity which depends on the improved predicted frame MAD value. The objective of this frame complexity based bit allocation is to follow the non-stationary characteristics of video source and to provide smoother visual quality. Simulation results show that by using our proposed scheme, smaller frame target bits mismatch can be achieved. In addition, the average peak signal-to-noise ratio (PSNR) for the reconstructed video is improved by up to 0.5 dB with up to 62% reduction in picture quality variation.

Original languageEnglish
Article number4253469
Pages (from-to)3639-3642
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - May 2007
Externally publishedYes
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: 27 May 200730 May 2007

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Improved frame level MAD prediction and bit allocation scheme for H.264/AVC rate control'. Together they form a unique fingerprint.

Cite this