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