Title :
Multiple description video coding based on Lagrangian rate allocation and JPEG2000
Author :
Foroushi, Zohre ; Ardestani, Majid R. ; Shirazi, Ali Asghare Beheshti
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran, Iran
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.
Keywords :
filtering theory; motion estimation; video coding; wavelet transforms; Akyol algorithm; JPEG2000; Lagrangian rate allocation; motion compensated temporal filtering; multiple description video coding; optimal rate distortion conditions; wavelet video coding; Equations; Filtering; Image coding; Rate-distortion; Streaming media; Transform coding; Video coding; JPEG2000; MCTF; multiple description coding; rate distortion optimization;
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2010 6th Iranian
Conference_Location :
Isfahan
Print_ISBN :
978-1-4244-9706-5
DOI :
10.1109/IranianMVIP.2010.5941178