DocumentCode
1956017
Title
A practical method for video scene segmentation
Author
Chen, Hui ; Li, Cuihua
Author_Institution
Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
Volume
9
fYear
2010
fDate
9-11 July 2010
Firstpage
153
Lastpage
156
Abstract
Video segmentation is a crucial pass to content-based video summarization and retrieval. In this paper, we present a practical method to efficiently group video content into semantic segments. First we detect shots with double-threshold method to find raw shots quickly, followed by redundant frames removal though spatial color distribution to get the key frames. Finally, we cluster the key frames using the inter-shot correlation via domain color histogram and motion intensity to get the final scenes.
Keywords
content-based retrieval; image colour analysis; image motion analysis; image segmentation; image sequences; pattern clustering; video retrieval; content based video retrieval; content based video summarization; domain color histogram; inter shot correlation; key frames cluster; motion intensity; spatial color distribution; video scene segmentation; Color; Neodymium; Robots; key frames extraction; scene segmentation; shots´ correlation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564930
Filename
5564930
Link To Document