| Full text | |
| Author(s): |
Cirne, Marcos Vinicius Mussel
;
Pedrini, Helio
;
IEEE
Total Authors: 3
|
| Document type: | Journal article |
| Source: | 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC); v. N/A, p. 6-pg., 2017-01-01. |
| Abstract | |
Video summarization plays an important role in providing a compact representation of large volumes of video sequences through the search for the most informative or representative portions of their content. In this work, we propose and analyze a novel video summarization method based on texture and color information to describe the video frames in order to produce an effective visual abstract of the video sequence. Experiments conducted on a data set containing distinct genres demonstrate that the proposed method is capable of generating competitive video summaries when compared to other approaches available in the literature. (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 |