| Full text | |
| Author(s): |
Martins, Guilherme B.
;
Papa, Joao P.
;
Almeida, Jurandy
;
IEEE
Total Authors: 4
|
| Document type: | Journal article |
| Source: | 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI); v. N/A, p. 5-pg., 2016-01-01. |
| Abstract | |
Video summarization aims at generating reduced representations for fast and effective video retrieval and classification. In this paper, we cope with such problem by proposing a temporal-and spatial-driven approach that makes use of the Optimum-Path Forest (OPF) clustering to automatic find the number of keyframes, as well as to extract them to compose the final summary. The experiments in two public datasets show OPF can outperform very recent results, thus achieving a performance comparable to some state-of-the-art techniques. (AU) | |
| FAPESP's process: | 14/16250-9 - On the parameter optimization in machine learning techniques: advances and paradigms |
| Grantee: | João Paulo Papa |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 15/50319-9 - Meta-heuristic-based optimization of probabilistic neural networks |
| Grantee: | João Paulo Papa |
| Support Opportunities: | Regular Research Grants |