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http://dx.doi.org/10.5909/JBE.2008.13.1.34

Multi-channel Adaptive SVC Video Streaming with ROI  

Lee, Jung-Hwan (Department of Computer Science and Engineering, Korea University)
Ryu, Eun-Seok (Department of Computer Science and Engineering, Korea University)
Yoo, Hyuck (Department of Computer Science and Engineering, Korea University)
Publication Information
Journal of Broadcast Engineering / v.13, no.1, 2008 , pp. 34-42 More about this Journal
Abstract
This paper proposes the mechanism which improves the qualify of video on a limited network bandwidth by applying the ROI technique to an H.264 Scalable Extension technique. The network environment assumed in this parer is the next generation network convergence environment in which the mobile device has one or more network interfaces. Therefore, we allocate the priority to video packets as the hierarchy structure of H.264 SVC-encoded video stream and ROI information, and transmit those packets over appropriate network channel for using those multiple network interfaces. This paper shows two experiments first one is extracting and allocating the video stream on an appropriate network channel, second one is unequal packet transmission by allocated priorities (e.g. ROI). Performance evaluations show that this approach delivers an improved decoded video quality when compared with conventional transmission schemes, especially on device which has multiple network interfaces.
Keywords
Scalable Video; Multi Channel; ROI; Streaming Video;
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