Paper Info
Title
Low complexity independent multi-view video coding.
Abstract
In 3D multi-view video coding (MVC), disparity estimation (DE) are used to exploit the correlation among different view sequences. The DE process greatly increases the computational complexity of the MVC. In this paper, a novel independent low complexity multi-view video coder (I-MVC) is introduced. In the proposed MVC, the coding complexity is shifted from the encoder side to the decoder side. Instead of disparity estimation, the proposed I-MVC deploys independent component analysis (ICA) on the video streams to remove the correlation between the view sequences. The correlated (dependent) video sequences are decomposed into uncorrelated (independent) sequences and a mixing matrix. Each independent sequence is independently encoded by the H.264/AVC video coder. Then the mixing matrix is used at decoder to jointly decode the received independent sequences. Our experimental results show that the proposed I-MVC has better coding efficiency than conventional 3D multi-view video coder. The I-MVC gives more than 21% savings in overall bit rate and reduces the MVC computational complexity by 49% with less than 0.2 dB loss in the video peak signal to noise ratio.
Year
DOI
Venue
2013
10.1109/CCNC.2013.6488422
CCNC
Keywords
Field
DocType
computational complexity,correlation methods,error statistics,estimation theory,image sequences,independent component analysis,video coding,video streaming,3D multiview video coder,3D multiview video coding,DE process,H.264/AVC video coder,I-MVC,ICA,MVC computational complexity,coding complexity,correlated video sequences,decoder side,dependent video sequences,disparity estimation,encoder side,independent component analysis,independent sequences,low complexity independent multiview video coding,mixing matrix,overall bit rate,uncorrelated sequences,video peak signal to noise ratio,video streams,view sequences,3D video,Independent component analysis (ICA),joint multi-view video model (JMVM),multi-view video coding (MVC)
Peak signal-to-noise ratio,Computer science,Multiview Video Coding,Artificial intelligence,Scalable Video Coding,Distributed computing,Computer vision,Algorithmic efficiency,Coding tree unit,Algorithm,Encoder,Independent component analysis,Computational complexity theory
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
4
Name
Order
Citations
PageRank
Hany S. Hussein113.73
El-Khamy Mostafa226428.10
Farhad Mehdipour38215.74
Mohamed El-Sharkawy410.69