Inter-block dependencies consideration for intra coding in H.264/AVC and HEVC standards

Abstract : Recent MPEG video compression standards are still block-based: blocks of pixels are sequentially coded using spatial or temporal prediction schemes. For each block, a vector of coding parameters has to be selected. In order to limit the complexity of this decision, independence between blocks is assumed, and coding parameters are locally optimized to maximize the coding efficiency. Few studies have investigated the benefits of inter-block dependencies consideration using Joint Rate-Distortion Optimization (JRDO), especially in Intra coding. To the best of our knowledge, maximum achievable gains of such approaches have never been exhibited. In this paper, we propose two JRDO models performing joint optimization of multiple blocks applied to intra prediction mode decision. The proposed models have been evaluated in both H.264/AVC and HEVC standards. These two models enables a bitrate saving with respect to the classical RDO model up to-3.10% and-2.31% in H.264/AVC and HEVC, respectively.
Type de document :
Communication dans un congrès
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, La Nouvelle Orléans, LA, United States. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1537-1541, 2017, 〈10.1109/ICASSP.2017.7952414〉
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01547813
Contributeur : Maxime Bichon <>
Soumis le : mercredi 12 juillet 2017 - 09:40:22
Dernière modification le : mardi 21 novembre 2017 - 15:23:33

Fichier

Inter-Block Dependencies Consi...
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Maxime Bichon, Julien Le Tanou, Michael Ropert, Wassim Hamidouche, Luce Morin, et al.. Inter-block dependencies consideration for intra coding in H.264/AVC and HEVC standards. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, La Nouvelle Orléans, LA, United States. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1537-1541, 2017, 〈10.1109/ICASSP.2017.7952414〉. 〈hal-01547813〉

Partager

Métriques

Consultations de la notice

71

Téléchargements de fichiers

30