DocumentCode :
1692309
Title :
Live video streaming with adaptive pre-processing by using scalable video coding
Author :
Grois, D. ; Hadar, Ofer ; Ohayon, R. ; Amram, N.
Author_Institution :
Commun. Syst. Eng. Dept., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear :
2013
Firstpage :
588
Lastpage :
589
Abstract :
In this work, a novel live scalable video streaming scheme, with adaptive pre-processing (pre-filtering), is presented. The scheme employs Scalable Video Coding (SVC), which is an extension of the H.264/AVC. An adaptive pre-filter is provided for each SVC layer, while each pre-filter´s parameters, such as the standard deviation and kernel matrix size, are dynamically adjusted according to the varying network conditions, thereby enabling to continuously obtain an optimal visual presentation quality at the decoder end. The performance of the presented live scalable video streaming scheme is evaluated and tested in detail, thereby demonstrating significant improvements of more than 2dB.
Keywords :
adaptive filters; decoding; video coding; video streaming; H.264-AVC; SVC; adaptive prefilter; adaptive preprocessing; decoder end; kernel matrix size; live scalable video streaming scheme; optimal visual presentation quality; scalable video coding; standard deviation; varying network conditions; Adaptive systems; Kernel; Real-time systems; Standards; Static VAr compensators; Streaming media; Video coding; Scalable Video Coding (SVC); adaptive pre-processing/pre-filtering; high-quality visual presentation; live/real-time video streaming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4673-1361-2
Type :
conf
DOI :
10.1109/ICCE.2013.6487029
Filename :
6487029
Link To Document :
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