Rate Control for Spatial Scalability Video Coding - Couverture souple

Atta, Randa; Abdel-Kader, Rehab; Abd Al-Rahem, Amera

 
9786202069960: Rate Control for Spatial Scalability Video Coding
Couverture souple
ISBN 10 : 6202069961 ISBN 13 : 9786202069960
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

This book investigates the problem of bit allocation for spatial and spatio-temporal scalability video coding of H.264/SVC. Little prior work deal with the H.264/SVC bit allocation problem considering the correlation between the enhancement and base layers. Nevertheless, most of the bit allocation algorithms suffer from high computational complexity which grows significantly with the number of layers. In this book, single-pass spatial and spatio-temporal bit allocation algorithms based on dependent Rate-Distortion (R-D) modeling are proposed. In both algorithms, the R-D model parameters are adaptively updated during the coding process. Experimental results demonstrate that the proposed algorithms achieve improvements in the coding gain as compared to the multi-pass model-based algorithm and the Joint Scalable Video Model (JSVM) FixedQPEncoder.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book investigates the problem of bit allocation for spatial and spatio-temporal scalability video coding of H.264/SVC. Little prior work deal with the H.264/SVC bit allocation problem considering the correlation between the enhancement and base layers. Nevertheless, most of the bit allocation algorithms suffer from high computational complexity which grows significantly with the number of layers. In this book, single-pass spatial and spatio-temporal bit allocation algorithms based on dependent Rate-Distortion (R-D) modeling are proposed. In both algorithms, the R-D model parameters are adaptively updated during the coding process. Experimental results demonstrate that the proposed algorithms achieve improvements in the coding gain as compared to the multi-pass model-based algorithm and the Joint Scalable Video Model (JSVM) FixedQPEncoder.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
6202069961
ISBN 13 
9786202069960
Reliure
Broché
Nombre de pages
164
Coordonnées du fabricant
non disponible
Personne responsable
non disponible