Name
Abstract | ||
|---|---|---|
A measurement based admission control predictive technique is introduced for on line streaming systems exploiting the GOP length demultiplexing of the aggregate bit stream in conjunction with a linear predictive algorithm. Due to the long latency of the statistical aggregate, the predictive technique is able to predict the bit rate over about two seconds of time. The prediction information is used in an admission control system to estimate the bit rate and the margin with respect to the channel capacity in the proposed streaming system. These measures have been used to estimate the overflow probability in a general aggregate situation. Tests conducted over real video sequences confirm the feasibility of the proposed technique. |
Year | Venue | Keywords |
|---|---|---|
2006 | SIGMAP 2006: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS | multimedia streaming,measurement based admission control,bandwidth prediction |
Field | DocType | Citations |
Computer vision,Computer science,Video streaming,Real-time computing,Multi channel,Artificial intelligence | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pietro Camarda | 1 | 822 | 51.74 |
| Cataldo Guaragnella | 2 | 183 | 22.63 |
| Domenico Striccoli | 3 | 31 | 8.13 |