Title
Quality selection for Dynamic Adaptive Streaming over HTTP with Scalable Video Coding
Abstract
Video streaming on the Internet is increasingly using Dynamic Adaptive Streaming over HTTP (DASH), which allows a client to dynamically adjust its video quality by choosing the appropriate quality level for each segment based on the current download rate. In this paper we examine the impact of Scalable Video Coding (SVC) on the client's quality selection policy. Given a variable download rate, when should the client try to maximize the current segment's video quality, and when should it instead play it safe and ensure a minimum level of quality for future segments? We use a combination of analysis, dynamic programming, and simulation to show that a client should use a diagonal quality selection policy, which combines prefetching with backfilling to balance both of these concerns. We also illustrate the conditions that affect the slope of the diagonal policy.
Year
DOI
Venue
2012
10.1145/2155555.2155580
MMSys
Keywords
Field
DocType
scalable video coding,variable download rate,minimum level,video quality,future segment,current download rate,diagonal quality selection policy,current segment,appropriate quality level,diagonal policy,quality selection policy,dynamic adaptive streaming,dash
Diagonal,Dynamic programming,Computer science,Download,Real-time computing,Video tracking,Dynamic Adaptive Streaming over HTTP,Video quality,Distributed computing,The Internet,Scalable Video Coding
Conference
Citations 
PageRank 
References 
28
1.26
12
Authors
5
Name
Order
Citations
PageRank
Travis Andelin1281.26
Vasu Chetty2343.17
Devon Harbaugh3281.26
Sean Warnick419825.76
Daniel Zappala5517.92