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
Link To Document :
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