DocumentCode :
3410752
Title :
RD optimized bitstream extraction for H.264/SVC based video streaming
Author :
Palaniappan, Ramaswamy ; Jayant, N.
Author_Institution :
Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2241
Lastpage :
2244
Abstract :
Heterogeneity of the Internet and clients´ operating environment necessitate the adaptation of media content to ensure a satisfactory multimedia experience. Scalable video coding (SVC) is a layer-based encoding scheme that achieves this adaptation through the extraction of partial bitstreams at reduced spatial, quality and temporal resolutions. The main focus of this paper is in developing such an extraction algorithm in the context of video streaming applications. Based on a combination of metadata computations and prediction mechanisms, our algorithm evaluates the quality contribution of each layer in the SVC bitstream and makes extraction decisions that are aimed at maximizing video quality while operating within the available bandwidth resources. When compared to earlier extraction methods such as JSVM-Basic and JSVM-QL, our algorithm offers a quality gain of 1.6 dB and 0.5 dB respectively. The proposed technique also achieves a 73% reduction in metadata computation time when compared to JSVM-QL.
Keywords :
Internet; feature extraction; meta data; multimedia computing; video coding; video streaming; H.264/SVC based video streaming; Internet; RD optimized bitstream extraction; SVC; feature extraction algorithm; media content adaptation; metadata computations; multimedia experience; scalable video coding; video streaming applications; Bit rate; Decoding; PSNR; Quality assessment; Static VAr compensators; Streaming media; Video recording; Bitrate adaptation; Bitstream extraction; H.264/SVC; Scalable video coding; Video streaming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467341
Filename :
6467341
Link To Document :
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