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Scalable roi algorithm for H.264/SVC-based video streaming

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2 Author(s)
Jung-Hwan Lee ; Dept. of Comput. Sci. & Eng., Korea Univ., Seoul, South Korea ; Yoo, C.

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 a Scalable ROI (SROI) algorithm that applies the ROI (Region of Interests) concept to SVC (Scalable Video Codec). While existing methods use a 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.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:57 ,  Issue: 2 )