Paper Info
Title
Distributed Video Coding using Compressive Sampling.
Abstract
In this paper, we propose a new Distributed Video Coding (DVC) algorithm based on Compressive Sampling principles. Our encoding algorithm transmits a set of measurements of every frame block. Using these measurements, the decoder finds an approximation of each block as a linear combination of a small number of blocks in previously transmitted frames. Thanks to the simplicity of the encoding, our algorithm can be useful in those video applications that require very low complex encoders. However, our algorithm is less efficient than another state-of-the-art DVC technique.
Year
DOI
Venue
2009
10.1109/PCS.2009.5167431
Chicago, IL
Keywords
Field
DocType
video application,wyner-ziv video coding,encoding algorithm,small number,index terms— compressive sampling,transmitted frame,distributed video coding,frame block,state-of-the-art dvc technique,compressive sampling,sparse representations.,video coding,low complex encoders,linear combination,compressive sampling principle,signal processing,turbo codes,silicon,sampling methods,distributed algorithms,encoding,sparse representation,decoding,video compression,approximation algorithms,psnr,data compression
Approximation algorithm,Computer vision,Computer science,Coding (social sciences),Theoretical computer science,Distributed algorithm,Encoder,Artificial intelligence,Decoding methods,Data compression,Compressed sensing,Encoding (memory)
Conference
ISBN
Citations 
PageRank 
978-1-4244-4594-3
53
2.30
References 
Authors
8
3
Name
Order
Citations
PageRank
Josep Prades-nebot11349.59
Yi Ma214931536.21
Thomas S. Huang3278152618.42