Paper Info
Title
High efficient distributed video coding with parallelized design for cloud computing
Abstract
In this work, by combining coding tools developed in recent literatures on transform domain WZ video coding with some newly developed modules on both encoding and decoding sides, an efficient and practical WZ video coding architecture, dubbed as DIStributed video coding with PArallelized design for Cloud computing (DISPAC), is proposed to better the corresponding rate-distortion (RD) performance. Another unique feature of DISPAC, lies in the parallelizability of the modules used by its WZ decoder which increased the decoding speed largely. Experimental results conducted on an emulated Could computing environment reveal that DISPAC codec can gain up to 3.6 dB in the RD measures and 60.97 times faster in the decoding speed as compared with the-state-of-art WZ video codec, respectively
Year
DOI
Venue
2011
10.1145/2072298.2071988
ACM Multimedia 2001
Keywords
Field
DocType
wz decoder,parallelized design,domain wz video,dispac codec,decoding speed,cloud computing,coding tool,the-state-of-art wz video codec,video coding,decoding side,practical wz video,distributed video,multi core,parallel
Computer science,Multiview Video Coding,Real-time computing,Coding (social sciences),Artificial intelligence,Smacker video,Computer engineering,Codec,Context-adaptive binary arithmetic coding,Scalable Video Coding,Computer vision,Coding tree unit,Decoding methods
Conference
Citations 
PageRank 
References 
2
0.40
3
Authors
4
Name
Order
Citations
PageRank
Han-Ping Cheng191.81
Yun-Chung Shen2346.30
Ja-ling Wu31569168.11
Kiyoharu Aizawa41836292.43