Name
Abstract | ||
|---|---|---|
In this work, the problem of dynamic video scene creation obtained by combining information extracted from multiple video sequences is considered. The main novelty of the proposed approach relies on the use of aesthetic features for automatically aggregating the inputs from different cameras in a unique video. While prior methodologies have separately addressed the issues of aesthetic feature extraction from videos and video orchestration, in this work we exploit selected features of a scene for automatically selecting the shots being characterized by the best aesthetic score. In order to evaluate the effectiveness of the proposed method, a subjective experiment has been carried out with experts from the audiovisual field. The achieved results are encouraging and show that there is space for improving the performances. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | Computer vision,Computer science,Support vector machine,Exploit,Feature extraction,Video tracking,Artificial intelligence,Novelty,Orchestration (computing) |
DocType | ISSN | Citations |
Conference | 0271-4302 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Neri | 1 | 68 | 6.35 |
| Federica Battisti | 2 | 293 | 25.35 |
| Federico Colangelo | 3 | 0 | 1.35 |
| Marco Carli | 4 | 252 | 28.85 |