Adaptive Mad Prediction and Refined R-Q Model for H.264/AVC Rate Control

Liu, Y.; LI, Zhenhua; Soh, Yeng Chai

doi:10.1109/icassp.2006.1660490

Cited by 14 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The location and number of coded data points which form adaptive context for current MB are selected by a Manhattan distance between MBs no larger than three. Liu et al proposed a spatialtemporal adaptively switched MAD prediction scheme [4][5] to enhance traditional linear model, which could reduce the MAD prediction error greatly, but the computation complexity is high due to pre-analysis of current frame using INTER1 INTRA1 modes and one more linear model update. Yuan et al also uses the coded data points with a spatial distance not exceeding a certain threshold in the current and previous frame to update the parameters of linear model and quadratic R-D model [6], which utilizes the spatial-temporal correlation better.…”

Section: Introductionmentioning

confidence: 99%

A low complexity MB layer rate control algorithm based on motion similarity for H.264

Cui

Zhu

2010

2010 International Conference on Wireless Communications &Amp; Signal Processing (WCSP)

View full text Add to dashboard Cite

This paper presents a simple but effective macroblock (MB) layer rate control (RC) scheme for H.264/AVC with low complexity. First, to reduce computation cost and inaccuracy of linear mean absolute difference (MAD) prediction at MB layer adopted in JVT-G012, MAD is computed directly according to the difference between current original MB and the reference blocks pointed by estimated MV using intensive motion similarity. Then, MB header bits are predicted based on spatial-temporal correlation because it is not constant due to complicated coding modes and high compression efficiency of H.264. Finally, MB target bit rate is allocated according to its complexity and the parameters of quadratic R-D model are updated using coded MBs with high spatial-temporal correlation and motion similarity not the last coded data points. Simulation results show that the proposed scheme achieves an average PSNR gain of 0.37 dB, meets better with target bit rate, produces more consistent quality for the MBs in a frame and thus improves visual quality compared to classic JVT-H017 RC algorithm, simultaneously has lower computation complexity and suits for real-time application.

show abstract

Section: Introductionmentioning

confidence: 99%