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

Xuan Jing; Lap Pui Chau

doi:10.1109/iscas.2007.378541

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

Xuan Jing, Lap Pui Chau

Research output: Journal article publication › Conference article › Academic research › peer-review

8 Citations (Scopus)

Abstract

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 language	English
Article number	4253469
Pages (from-to)	3639-3642
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/iscas.2007.378541
Publication status	Published - May 2007
Externally published	Yes
Event	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States Duration: 27 May 2007 → 30 May 2007

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1109/iscas.2007.378541

Cite this

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abstract = "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.",

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year = "2007",

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journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

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AU - Chau, Lap Pui

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AB - 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.

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

Abstract

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