DocumentCode
3483495
Title
New H.264 intra-rate estimation and inter-rate control driven by improved MAD-based Contrast Sensitivity
Author
Hrarti, M. ; Saadane, A. ; Larabi, M.C. ; Tamtaoui, A. ; Aboutajdine, D.
Author_Institution
Dept. Signal, Image et Commun., Univ. de Poitiers, Poitiers, France
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
3433
Lastpage
3436
Abstract
This paper aims to improve H.264 bit-rate control. The proposed algorithm is based on a new and efficient rate-quantization (R-Q) model for the intra frame. For the inter frame, we propose to replace the current use of MAD by a new MAD-based human contrast sensitivity (MAD-CS) which is a more accurate complexity measure. R-Q model for the intra frame results from extensive experiments. The optimal initial quantization parameter QP is based on both target bit-rate and complexity of I-frame. The I-frame target bit-rate is derived from the global target bit-rate by using a new non linear model. MAD-CS includes the contrast sensitivity of the human visual system and weights the absolute differences by the probability of their occurrence. Extensive simulation results show that the use of MAD-CS and the proposed R-Q model achieves better rate control for intra frames, reduces the bit-rates when compared to the H.264 rate control adopted in JM reference software, minimizes the peak to signal ratio variations among encoded pictures and increases significantly as well subjective visual quality (measured by psycho visual experiments) as objective one.
Keywords
probability; video coding; H.264 bit rate control; H.264 intra rate estimation; I-frame complexity; I-frame target bit rate; JM reference software; MAD based human contrast sensitivity; human visual system; inter rate control; rate quantization model; Automatic voltage control; Bit rate; Communication system control; Computational modeling; Error correction; Humans; MPEG 4 Standard; Quadratic programming; Quantization; Transform coding; Bit allocation; Contrast Sensivity Function; H.264/AVC; MAD; Rate-Quantization model;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5413854
Filename
5413854
Link To Document