@inproceedings{a1c267d97d6642f4b5f4b8145b1363a9,
title = "Seamless P2P-MDVC with well-balanced descriptions",
abstract = "Multiple-description coding (MDC) provides a promising solution to support the error-prone transmission over multiple channels. One extremely important application is to design efficient multiple description video coding (MDVC) systems for the peer to peer (P2P) scenario. To this end, one needs to solve the mismatching problem between the reference frames used at the encoder and decoder sides (for motion compensation) in most non-scalable MDVC schemes or get rid of the inter-dependency within various enhancement layers in the scalable MDVC schemes. In the meantime, it is highly preferable to enforce that all descriptions transmitted over the network are well-balanced so as to have an equal payload to each peer. In this paper, we propose an MDVC scheme with a number of well-balanced descriptions. These descriptions are generated from some newly-developed unitary transforms and they can solve all of the problems mentioned above.",
keywords = "Multiple-description coding (MDC), peer to peer (P2P), seamless, unitary transforms, well-balanced descriptions",
author = "Shuyuan Zhu and {Au Yeung}, {Siu Kei} and Bing Zeng",
year = "2011",
doi = "10.1109/ICASSP.2011.5946591",
language = "English",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "1065--1068",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}