Paper Info
Title
Distributed video coding using interval overlapped arithmetic coding
Abstract
Distributed video coding (DVC) is a flexible and novel video coding mode that is different from traditional video compression methods, which can shift the complex task such as motion estimation from encoder to decoder. Nowadays, most of the DVC architectures adopt channel coding such as low-density parity-check codes. It is found that arithmetic coding can be also extended to compress correlated sources and even has better performance than the channel coding for short to medium block length sources. Therefore, we propose a DVC scheme using interval overlapped arithmetic coding that is distributed arithmetic coding (DAC) without feedback channel, where the Key frames are compressed using traditional video coder while the Wyner–Ziv frames are compressed using DAC. We compare the rate–distortion performance of the proposed scheme with the state-of-the-arts, and the experimental results indicate that the proposed scheme is competitive. The source code for this scheme is available in GitHub.
Year
DOI
Venue
2019
10.1016/j.image.2019.03.016
Signal Processing: Image Communication
Keywords
Field
DocType
Distributed video coding,Distributed arithmetic coding,Video coding,Arithmetic coding
Computer vision,Source code,Computer science,Algorithm,Communication channel,Coding (social sciences),Encoder,Artificial intelligence,Motion estimation,Data compression,Arithmetic coding,Fold (higher-order function)
Journal
Volume
ISSN
Citations 
76
0923-5965
2
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Junwei Zhou111816.64
Yincheng Fu220.37
Yanchao Yang3136.14
Anthony T. S. Ho421920.81