Nowadays, Rate-Distortion Optimization (RDO) is commonly used in hybrid video coding to maximize coding efficiency. Usually, the rate distortion tradeoff is explicitly computed in offline encoder implementations whereas R(D) model are used in live encoders to select the best decisions at a lower computational cost. For sake of simplicity, this (mathematical) modelling is often performed for each coding unit (CU) individually and independently, obliterating the spatial or temporal dependency between CUs. In this paper, we provide a new spatio-temporal algorithm to compute local quantizers, based on a theoretical framework able to describe the temporal distortion propagation from an R-D standpoint. In particular, we model the temporal distortion propagation making possible the retro accumulations of any (spatial) psycho-visually weighted distortion onto reference images. Using the R(D) Shannon bound, its high bitrate approximation, and a Lagrange optimization, analytical solutions are obtained for the local quantizers and the Lagrange multiplier. The proposed algorithm shows-4.4% BD-BR SSIM gains in average over state-of-the art algorithm in HEVC, using the same SSIM-based psycho-visual function.

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This paper describes the Open SVC Decoder project, an open source library which implements the Scalable Video Coding (SVC) standard, the latest standardized by the Joint Video Team (JVT). This library has been integrated into open source players The Core Pocket Media Player (TCPMP) and mplayer, in order to be deployed over different platforms with different operating systems.

International audienceIn this paper, a implementation of a DSP-based IP set-top box (IP-STB) to decode CIF sequences compliant with the new Scalable Video Coding standard (14496-10 Amd 3) using Open SVC Decoder (OSD) is presented. The OSD software, designed for the PC environment, has been integrated into a previously developed IP-STB prototype. About 15 CIF frames per second can be decoded with the IP-STB

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