Treffer: Soft Decision Quantization for H.264 With Main Profile Compatibility

Title:
Soft Decision Quantization for H.264 With Main Profile Compatibility
Authors:
YANG, En-Hui, XIANG YU
Source:
IEEE transactions on circuits and systems for video technology. 19(1):122-127
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2009.
Publication Year:
2009
Physical Description:
print, 18 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Electronique, Electronics, Circuits électriques, optiques et optoélectroniques, Electric, optical and optoelectronic circuits, Propriétés des circuits, Circuit properties, Circuits électroniques, Electronic circuits, Convertisseurs de signal, Signal convertors, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Codage, codes, Coding, codes, Echantillonnage, quantification, Sampling, quantization, Algorithme, Algorithm, Algoritmo, Circuit codeur, Coding circuit, Circuito codificación, Codage adaptatif, Adaptive coding, Codificación adaptativa, Codage binaire, Binary coding, Codificación binaria, Code arithmétique, Arithmetic code, Código aritmético, Compatibilité, Compatibility, Compatibilidad, Décision quantifiée, Soft decision, Decisión programada, Effet quantique, Quantum effect, Efecto cuántico, Etude comparative, Comparative study, Estudio comparativo, Ligne de base, Baseline, Línea de base, Logiciel, Software, Logicial, Modèle hybride, Hybrid model, Modelo híbrido, Optimisation, Optimization, Optimización, Quantification signal, Signal quantization, Cuantificación señal, Rapport signal bruit, Signal to noise ratio, Relación señal ruido, Théorie vitesse distorsion, Rate distortion theory, H.264 hybrid coding, rate-distortion optimization (RDO), soft decision quantization
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
ISSN:
1051-8215
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=21331290
Rights:
Copyright 2009 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Electronics

Telecommunications and information theory
Accession Number:
edscal.21331290
Database:
PASCAL Archive

Weitere Informationen

-In this paper, we study the rate-distortion (RD) optimization of the H.264 main profile encoding. Specifically, a soft decision quantization (SDQ) algorithm is developed based on the context adaptive binary arithmetic coding (CABAC) method in the H.264 main profile. Given motion prediction and quantization step sizes, the proposed SDQ algorithm is proved to achieve near-optimal SDQ for residual coding in the sense of minimizing the true RD cost when the weak adjacent block dependency utilized in CABAC is ignored for optimization. The SDQ algorithm is then used in conjunction with a general RD optimization framework to jointly design motion prediction and residual coding for H.264 main profile coding given previously coded reference frames. Experiments have been conducted based on the reference encoder JM82 of H.264 main profile. Comparative studies show that the joint design method achieves on average 10% rate reduction at the same PSNR when compared with the RD method in the H.264 main-profile reference software, with half of the reduction coming from the proposed SDQ algorithm, and 20% rate reduction at the same PSNR when compared with the RD method in the H.264 baseline-profile reference software.