| Full text | |
| Author(s): |
Souza, Marcos R.
;
Pedrini, Helio
Total Authors: 2
|
| Document type: | Journal article |
| Source: | EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING; v. N/A, p. 11-pg., 2018-05-30. |
| Abstract | |
The development of multimedia equipments has allowed a significant growth in the production of videos through professional and amateur cameras, smartphones, and other mobile devices. Examples of applications involving video processing and analysis include surveillance and security, telemedicine, entertainment, teaching, and robotics. Video stabilization refers to the set of techniques required to detect and correct glitches or instabilities caused during the video acquisition process due to vibrations and undesired motion when handling the camera. In this work, we propose and evaluate a novel approach to video stabilization based on an adaptive Gaussian filter to smooth the camera trajectories. Experiments conducted on several video sequences demonstrate the effectiveness of the method, which generates videos with adequate trade-off between stabilization rate and amount of frame pixels. Our results were compared to YouTube's state-of-the-art method, achieving competitive results. (AU) | |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 17/12646-3 - Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events |
| Grantee: | Anderson de Rezende Rocha |
| Support Opportunities: | Research Projects - Thematic Grants |