Open AccessP2P Video Streaming Strategies based on Scalable Video Coding
Author(s) -
F. A. López-Fuentes
Publication year - 2015
Publication title -
journal of applied research and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 30
ISSN - 1665-6423
DOI - 10.1016/s1665-6423(15)30010-9
Subject(s) - scalable video coding , computer science , popularity , scalability , coding (social sciences) , video quality , multimedia , internet video , video processing , video tracking , multiview video coding , the internet , video streaming , homogeneous , smacker video , video compression picture types , computer network , artificial intelligence , world wide web , database , psychology , social psychology , metric (unit) , statistics , operations management , physics , mathematics , economics , thermodynamics
Video streaming over the Internet has gained significant popularity during the last years, and the academy and industry have realized a great research effort in this direction. In this scenario, scalable video coding (SVC) has emerged as an important video standard to provide more functionality to video transmission and storage applications. This paper proposes and evaluates two strategies based on scalable video coding for P2P video streaming services. In the first strategy, SVC is used to offer differentiated quality video to peers with heterogeneous capacities. The second strategy uses SVC to reach a homogeneous video quality between different videos from different sources. The obtained results show that our proposed strategies enable a system to improve its performance and introduce benefits such as differentiated quality of video for clients with heterogeneous capacities and variable network conditions