Zhang, Song-Hai, Zhang, Yi-Fei, Chen, Tao, Hall, Peter M. and Martin, Ralph Robert 2007. Video structure analysis. Tsinghua Science and Technology 12 (6) , pp. 714-718. 10.1016/S1007-0214(07)70180-3 |
Official URL: http://dx.doi.org/doi:10.1016/S1007-0214(07)70180-...
Abstract
Video structure analysis is a basic requirement for most content-based video editing and processing systems. This paper presents a fast video structure analysis method based on image segmentation in each frame, with region matching between frames. The structure analysis decomposes the video into several moving objects, including information about their colors, positions, shapes, movements, and lifetimes. The method also supports user interactions to improve the results. The result shows that this method is fast and stable and can complete video analyzing interactively.
Item Type: | Article |
---|---|
Date Type: | Publication |
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Uncontrolled Keywords: | video structure analysis; video segmentation; image segmentation; region matching |
ISSN: | 1007-0214 |
Funders: | EPSRC |
Last Modified: | 04 Jun 2017 01:53 |
URI: | https://orca.cardiff.ac.uk/id/eprint/5227 |
Citation Data
Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |