Convex optimization for frame-level rate allocation in MV-HEVC

Aniello Fiengo (1) , Giovanni Chierchia (2) , Marco Cagnazzo (1) , Béatrice Pesquet-Popescu (1)

1 LTCI - Laboratoire Traitement et Communication de l'Information
2 LIGM - Laboratoire d'Informatique Gaspard-Monge

Optimal rate allocation is among the most challenging tasks to perform in the context of multi-view video coding, because of the dependency between frames induced by motion compensation and depth image-based rendering. In this paper, using a recursive rate-distortion model that explicitly takes into account these dependencies, we approach the frame-level rate allocation as a convex optimization problem. Within this framework, we provide an efficient algorithm for exactly solving the above problem with recent convex optimization tools. Experiments on standard sequences demonstrate the interest of considering the proposed rate allocation method and confirm that our approach ensures a better performance (in rate-distortion sense) than the standard MV-HEVC rate control.

Mots clés: MV video coding; rate distortion; convex optimization; resource allocation

Domaines: Théorie de l'information et codage [math.IT]

Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Béatrice Pesquet-Popescu. Convex optimization for frame-level rate allocation in MV-HEVC. 2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, United States. ⟨10.1109/ICIP.2016.7532740⟩. ⟨hal-01718476⟩