Name
Abstract | ||
|---|---|---|
In this paper, the authors treat the key frame extraction problem from a viewpoint of shot reconstruction. As a result, a novel criterion called shot reconstruction degree (SRD) is proposed for key frame selection based on the degree of retaining motion dynamics of a video shot. Compared with the widely used fidelity criterion, the key frame set produced by SRD can better capture the detailed dynamics of the shot. Using the new SRD criterion, a novel inflexion-based key frame selection algorithm is developed. Simulation results show that the new algorithm results in good performance in terms of both fidelity and shot reconstruction degree. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.patrec.2004.05.020 | Pattern Recognition Letters |
Keywords | Field | DocType |
Video content analysis,Video summarization,Key frame selection | Computer vision,Fidelity,Computer science,Selection algorithm,Video content analysis,Artificial intelligence,Key frame,Motion dynamics | Journal |
Volume | Issue | ISSN |
25 | 12 | 0167-8655 |
Citations | PageRank | References |
31 | 1.22 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tie-yan Liu | 1 | 4662 | 256.32 |
| Xudong Zhang | 2 | 695 | 63.82 |
| Jian Feng | 3 | 149 | 16.88 |
| Kwok-Tung Lo | 4 | 662 | 66.15 |