Multiple description video coding based on Lagrangian rate allocation and JPEG2000

Abstract

Multiple description coding is a technique where all the transmitted segments of data, or descriptions, can be independently decoded. In this paper, a multiple description coding technique for videos is proposed, based on optimal Lagrangian rate allocation. in "T+2D" wavelet video coding, first, motion compensated temporal filtering (MCTF) is performed along the temporal direction to efficiently de-correlate frames within a GOP. Then, all low-pass filtered frames are encoded using JPEG2000 coder. All code blocks are coded at two different rates. Then blocks are split into three subsets with similar rate distortion characteristics; three balanced descriptions are generated by combining code blocks belonging to the three subsets encoded at opposite rates. A theoretical analysis is carried out, and the optimal rate distortion conditions are worked out. Simulation results show a noticeable performance improvement with respect to Akyol algorithm.