| Full text | |
| Author(s): |
Almeida, Jurandy
;
Leite, Neucimar J.
;
Torres, Ricardo da S.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION; v. 24, n. 6, p. 10-pg., 2013-08-01. |
| Abstract | |
Recent advances in technology have increased the availability of video data, creating a strong requirement for efficient systems to manage those materials. Making efficient use of video information requires that data to be accessed in a user-friendly way. Ideally, one would like to understand a video content, without having to watch it entirely. This has been the goal of a quickly evolving research area known as video summarization. In this paper, we present a novel approach for video summarization that works in the compressed domain and allows the progressive generation of a video summary. The proposed method relies on exploiting visual features extracted from the video stream and on using a simple and fast algorithm to summarize the video content. Experiments on a TRECVID 2007 dataset show that our approach presents high quality relative to the state-of-the-art solutions and in a computational time that makes it suitable for online usage. (C) 2012 Elsevier Inc. All rights reserved. (AU) | |
| FAPESP's process: | 07/52015-0 - Approximation methods for visual computing |
| Grantee: | Jorge Stolfi |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 09/18438-7 - Large-scale classification and retrieval for complex data |
| Grantee: | Ricardo da Silva Torres |
| Support Opportunities: | Regular Research Grants |