Title :
Network-optimized adaptive SVC-based live video streaming
Author :
Grois, D. ; Hadar, Ofer ; Marpe, Detlev
Author_Institution :
Image Process. Dept., Fraunhofer HHI, Berlin, Germany
Abstract :
In this work, a network-optimized live scalable video streaming scheme with adaptive preprocessing is presented, while showing significant improvements in visual quality. According to the proposed scheme, an adaptive pre-filter is applied prior to encoding each Scalable Video Coding (SVC) layer, while each pre-filter parameters are dynamically adjusted according to varying network conditions, such as the network Round Trip Time (RTT) and packet loss ratio, thereby enabling to continuously obtain an optimal visual quality at the decoder side. The performance of the presented scheme is evaluated and tested in detail, thereby demonstrating a significant gain of up to 5dB.
Keywords :
adaptive codes; adaptive filters; decoding; video coding; video streaming; RTT; adaptive pre-filter; adaptive preprocessing; network round trip time; network-optimized adaptive SVC based live video streaming; packet loss ratio; scalable video coding; visual quality; Adaptive systems; Packet loss; Static VAr compensators; Streaming media; Video coding; Visualization; Scalable Video Coding (SVC); adaptive pre-processing; high visual quality; real-time video streaming;
Conference_Titel :
Consumer Electronics ?? Berlin (ICCE-Berlin), 2013. ICCEBerlin 2013. IEEE Third International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1411-1
DOI :
10.1109/ICCE-Berlin.2013.6698049