Name
Abstract | ||
|---|---|---|
We propose a transmission rate prediction method of video data. The proposed method uses a Kalman filter for predicting transmission rate. It used algorithm to detect shot transition information by high speed in compressed domain in order to grasp precise shot transition of video data and classified into abrupt shot transition type and gradual shot transition type. Classified information is used as factors of Kalman filter and to predict transmission rate of video data. It predicted transmission rate with 96.2 ~ 97.6% in the experiment. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11751588_12 | ICCSA |
Keywords | Field | DocType |
vbr motion image,transition information,video data,kalman filter,precise shot transition,abrupt shot transition type,transmission rate,transmission rate prediction method,classified information,gradual shot transition type | Transmission rate,Mathematical optimization,GRASP,Data transmission,Computer science,Simulation,Algorithm,Kalman filter,State-transition matrix,Variable bitrate | Conference |
Volume | ISSN | ISBN |
3981 | 0302-9743 | 3-540-34072-6 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Won Kim | 1 | 10 | 1.69 |
| HyoJong Jang | 2 | 0 | 1.01 |
| Gye-Young Kim | 3 | 116 | 24.67 |