DocumentCode :
2639276
Title :
Scalable ROI algorithm for H.264/SVC-based video streaming
Author :
Lee, Jung-Hwan ; Yoo, Chuck
Author_Institution :
Dept. of Comput. Sci. & Eng., Korea Univ., Seoul, South Korea
fYear :
2011
fDate :
9-12 Jan. 2011
Firstpage :
201
Lastpage :
202
Abstract :
H.264/SVC has been widely adopted to smart CE devices for network-adaptive video transmission. However, current H.264/SVC does not support sufficiently high subjective QoS (Quality of Service) because its scalability methods provide only coarse-grained network adaptivity. To address this problem, we propose Scalable ROI (SROI) algorithm that applies ROI (Region of Interests) concept to SVC (Scalable Video Codec). While existing methods use fixed size of enhancement layers, our method utilizes only ROI area as an enhancement layer so that it can improve subjective QoS with low transmission overhead. Through some experiments, we show that our method can increase PSNR (Peak Signal-to-Noise Ratio) by 4~5 dB in ROI areas.
Keywords :
video codecs; video coding; video communication; video streaming; H.264-SVC; QoS; coarse grained network adaptivity; network adaptive video transmission; peak signal to noise ratio; quality of service; region of interest; scalable ROI algorithm; scalable video codec; video streaming; Bandwidth; Data mining; PSNR; Scalability; Static VAr compensators; Streaming media; Video codecs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4244-8711-0
Type :
conf
DOI :
10.1109/ICCE.2011.5722540
Filename :
5722540
Link To Document :
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