DocumentCode
3147196
Title
Adding SVC Spatial Scalability to Existing H.264/AVC Video
Author
Sachdeva, Ravin ; Johar, Sumit ; Piccinelli, Emiliano
Author_Institution
Adv. Syst. Technol., STMicroelectronics Pvt. Ltd., Noida, India
fYear
2009
fDate
1-3 June 2009
Firstpage
1090
Lastpage
1095
Abstract
This paper describes an innovative algorithm for adding SVC spatial scalability to all existing non-scalable H.264/AVC video streams. The algorithmic system builds on a full-decode-full-encode method of conversion and employs reuse of available data by an efficient downscaling of video information for different layers, thus reducing the complexity of the algorithm by manifold whilst maintaining a high coding efficiency. The complexity is further reduced by bypassing of various time consuming processes of the encoding process by the use of sharing and reuse of video information coming from original bitstream. Extensive analysis has been done to evaluate the gains in the coding efficiency and complexity of the algorithm using the full-decode-full-encode approach as a benchmark. The ultimate reduction in complexity is at least 60% from full-decode-full-encode while maintaining the output video quality. The modular nature of the algorithm is designed to be easily adaptable to other scalable video standards as well.
Keywords
video coding; H.264-AVC video; SVC spatial scalability; digital video; full-decode-full-encode method; scalable video coding; Automatic voltage control; Bandwidth; Decoding; HDTV; High definition video; Scalability; Static VAr compensators; Streaming media; Video coding; Video sharing; Digital Video; H.264/AVC; PSNR; SVC; Spatial Scalability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3641-5
Type
conf
DOI
10.1109/ICIS.2009.128
Filename
5223289
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