Title :
SEAMLESS P2P-MDVC with well-balanced descriptions
Author :
Zhu, Shuyuan ; Yeung, Siu-Kei Au ; Zeng, Bing
Author_Institution :
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
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 :
decoding; image enhancement; peer-to-peer computing; transforms; video coding; video communication; decoder; encoder; enhancement layer; error-prone multiple channel transmission; mismatching problem; multiple description video coding; nonscalable MDVC scheme; peer to peer MDVC; reference frames; scalable MDVC scheme; seamless P2P-MDVC; unitary transform; Discrete cosine transforms; Indexes; Mobile communication; Multiple-description coding (MDC); peer to peer (P2P); seamless; unitary transforms; well-balanced descriptions;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946591