Name
Title | ||
|---|---|---|
Overview and traffic characterization of coarse-grain quality scalable (CGS) h.264 SVC encoded video |
Abstract | ||
|---|---|---|
The Scalable Video Coding extension (SVC) of the H.264/AVC standard is widely considered for IPTV. SVC supports a variety of scalability modes, including temporal, spatial as well as coarse-grain and medium-grain quality scalabilities. In this paper, we first give an overview of Coarse-Grain quality Scalability (CGS). We generate traces of CGS encodings of long CIF resolution video sequences; the traces provide a simple yet effective characterization of CGS encoded video for performance evaluation of video transport systems, including IPTV systems. We conduct a detailed statistical analysis of the CGS video traces. We compare the bit rate-distortion (RD) and the bit rate variability-distortion (VD) performances of scalable CGS encodings with those of non-scalable SVC single layer encodings. We thus quantify the tradeoff between the rate adaptability afforded by CGS encoding and the cost in terms of RD efficiency compared to non-scalable single-layer video. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CCNC.2010.5421761 | CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference |
Keywords | Field | DocType |
traffic characterization,video transport system,long cif resolution video,non-scalable svc single layer,coarse-grain quality scalable,cgs encoded video,cgs encoding,svc encoded video,single-layer video,coarse-grain quality,cgs encodings,cgs video trace,scalable cgs encodings,scalable video coding,rate distortion theory,statistical analysis | Common Intermediate Format,Computer architecture,Computer science,Bit rate,Real-time computing,IPTV,Rate–distortion theory,Statistical analysis,Scalable Video Coding,Encoding (memory),Distributed computing,Scalability | Conference |
ISSN | ISBN | Citations |
2331-9852 | 978-1-4244-5176-0 | 8 |
PageRank | References | Authors |
0.57 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akshay Pulipaka | 1 | 23 | 1.57 |
| Patrick Seeling | 2 | 266 | 34.77 |
| Martin Reisslein | 3 | 1661 | 114.91 |
| Lina J. Karam | 4 | 676 | 72.58 |