Name
Abstract | ||
|---|---|---|
In the field of automated home video editing, exploring the dependence relations between who (character) and where (scene) makes great sense to end-users for content selection. However, such techniques have not been well developed in real applications due to their computational intensity. The emerging multi-core architectures provide an opportunity to speed up those compute expensive algorithms if shift from serial thinking to parallelism. This demonstration presents a scalable parallel system for home video editing. In a realtime processing speed, the system analyzes how many characters and scenes are captured and provides end-users with flexible preference customization. Through kernel module optimization and data-level parallelization, evaluations on a real 8-core machine indicates a near linear speed up could be achieved along with the increasing number of cores. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1291233.1291337 | ACM Multimedia 2001 |
Keywords | DocType | Citations |
real application,automated home video editing,content selection,8-core machine,home video editing,scalable parallel system,computational intensity,near linear speed,multi-core solution,system analyzes,realtime processing speed,parallel systems,multi core,data level parallelism | Conference | 1 |
PageRank | References | Authors |
0.36 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengkun Xue | 1 | 1 | 1.37 |
| Liqun Li | 2 | 1 | 0.36 |
| Feng Yang | 3 | 86 | 11.70 |
| Patricia P. Wang | 4 | 25 | 3.79 |
| Tao Wang | 5 | 238 | 23.70 |
| Yimin Zhang | 6 | 1536 | 130.17 |
| Yankui Sun | 7 | 33 | 12.88 |