LAR Video : Lossless Video Coding with Semantic Scalability

Abstract

Baptized “LAR Video”, the method proposed in this paper describes a new lossless video coding algorithm with advanced semantic scalability. Motion estimation and compensation steps are undertaken first to produce the well known displaced frame difference (DFD). The basic idea is to apply a pyramidal decomposition to this residual error, based on an efficient scalable image compression technique named LAR-APP. As a result of progressive data broadcasting, the image-sequence can be scalably rebuilt in the decoder at different spatial resolution levels. The given experimental results show that the proposed solution achieves not only scalability but also good compression performances