Title :
Adaptive P2PTV with scalable video coding
Author :
Lahbabi, Youssef ; Ibn Elhaj, El Hassane ; Hammouch, Ahmed
Author_Institution :
ENSET Mohammed V Souissi Univ., Rabat, Morocco
Abstract :
In this paper, we propose a novel quality adaptation mechanisms using Scalable Video Coding (SVC) over Peer-to-Peer Television (P2PTV) architecture in order to provide maximum quality level. Our algorithms are based on the idea of dividing quality adaptation into two stages. The first stage, Layer Level Initialization (LLI), allows adapting to static resources at the peers. After streaming starts, another set of algorithms called the Layer Level Adjustment (LLA) is used to adapt the H.264/SVC streams with available real time resources of P2PTV. LLA is evaluated and compared with Progressive Quality Adaptation (PQA) on Quality of PSNR metric using PSIM simulator. Performance evaluation demonstrates that LLA outperforms PQA and provides a significant improvement in the PSNR value in term of adapting the Quantization Parameter (QP) with instantaneous throughput available at the peer.
Keywords :
peer-to-peer computing; video coding; H.264 SVC streams; LLA; LLI; P2PTV architecture; PSIM simulator; adaptive P2PTV architecture; layer level adjustment; layer level initialization; maximum quality level; novel quality adaptation mechanisms; progressive quality adaptation; quantization parameter; scalable video coding; PSNR; Peer-to-peer computing; Real-time systems; Scalability; Static VAr compensators; Streaming media; Throughput; IPTV; LLA; LLI; P2PTV; PQA; Peer-to-peer streaming; QP; live streaming; scalable video coding;
Conference_Titel :
Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
Conference_Location :
Tetouan
Print_ISBN :
978-1-4799-5978-5
DOI :
10.1109/CIST.2014.7016647