Title
Orthogonal Muxing Frame Compatible Full Resolution technology for multi-resolution frame-compatible stereo coding
Abstract
This paper describes the Orthogonal Muxing Frame Compatible Full Resolution (OM-FCFR) technology that provides efficient compression and reconstruction of full resolution stereoscopic video while maintaining compatibility with stereoscopic AVC Frame Compatible (FC) bitstreams. The OM-FCFR is a dual-layer coding system and is built upon the MVC Stereo High Profile of the AVC. Orthogonal muxing is used to design the enhancement layer video signal. A “Reference Process Unit (RPU)” is employed for creating the inter-layer reference picture that can serve as a good prediction for an enhancement layer picture. Simulation results show that significant improvement over the frame compatible solution is achieved in both subjective and objective evaluations. This technology was submitted as a proposal in response to the call for proposals (CfP) on MPEG Frame- Compatible (MFC) enhancement technology issued by ISO/IEC JTC1/SC29/WG11 (MPEG) and the specification was adopted as the working draft for the MFC standard and AVC Amendment 5.
Year
DOI
Venue
2013
10.1109/ICME.2013.6607551
ICME
Keywords
Field
DocType
dual-layer coding system,sc29,full resolution stereoscopic video compression,mpeg frame-compatible enhancement technology,multiresolution frame-compatible stereo coding,iec,jtc1,rpu,interlayer reference picture,mvc stereo high profile,image resolution,mfc,frame compatible enhancement,iso,mfc standard,data compression,om-fcfr technology,orthogonal muxing frame compatible full resolution technology,full resolution stereoscopic video reconstruction,enhancement layer video signal,image reconstruction,reference process unit,3dtv,video coding,avc amendment 5,call-for-proposals,stereoscopic avc frame compatible bitstreams,enhancement layer picture,wg11,stereo image processing,image enhancement,orthogonal muxing,satellites,encoding
Iterative reconstruction,Computer vision,Compatibility (mechanics),Computer science,Stereoscopy,Coding system,Coding (social sciences),Artificial intelligence,Data compression,Image resolution,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
1945-7871
1
0.36
References 
Authors
3
6
Name
Order
Citations
PageRank
Taoran Lu1465.09
Hariharan Ganapathy210.36
Gopi Lakshminarayanan310.36
Tao Chen44921.43
Walt Husak563.01
Peng Yin610.36