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| Content Provider | ACM Digital Library |
|---|---|
| Author | Loguinov, Dmitri Dai, Min |
| Abstract | Internet streaming applications usually have strict requirements on bandwidth, delay, and packet loss, while the current best-effort Internet does not provide any Quality-of-Service (QoS) guarantees to end flows. To achieve a higher level of QoS for the end user, Fine-granular Scalability (FGS), which has both strong error-resilience and flexibility during streaming over variable-bandwidth channels, has been accepted as a standard coding scheme for the video streaming profile in MPEG-4 [19]. Note that FGS and its extensions (e.g., progressive FGS) can also be used in the emerging video coding standards such as H.26L. This paper investigates rate-distortion (R-D) models of FGS coders and shows how such models can be used in a simple rate control framework for FGS streaming over the Internet. In terms of congestion control, we examine advantages and drawbacks of Kelly's proportional-fairness framework [12] and investigate its practical use both in the best-effort and AQM-enabled Internet. Our simulation results show that the developed R-D models provide fundamental insight into the structure of FGS coders and that constant-quality streaming is possible as long as the number of end flows competing at each bottleneck resource remains fairly stationary. |
| Starting Page | 60 |
| Ending Page | 69 |
| Page Count | 10 |
| File Format | |
| ISBN | 1581136943 |
| DOI | 10.1145/776322.776333 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2003-06-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | R-d modeling Video streaming Mpeg-4 fgs Scalable coding Congestion control |
| Content Type | Text |
| Resource Type | Article |
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