DocumentCode
2610742
Title
Video Scene Extraction Using Mosaic Technique
Author
Chen, Liang-Hua ; Lai, Yu-Chun ; Liao, Hong-Yuan
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Fu Jen Univ., Taipei
Volume
4
fYear
0
fDate
0-0 0
Firstpage
723
Lastpage
726
Abstract
Scene extraction is the first step toward semantic understanding of the video. This paper presents an effective approach to video scene extraction based on the analysis of background images. Our approach exploits the fact that shots belonging to one particular scene often have similar background. Although part of the video frame is covered by foreground objects, background scene still can be reconstructed by mosaic technique. The proposed scene extraction algorithm consists of two main components: the determination of shot similarity measure and shot grouping process. In our approach, several low-level visual features are integrated to compute the similarity measure between two shots. On the other hand, high-level knowledge in cinematography is used to guide the shot grouping process. Experimental results show that our approach is promising and outperforms some existing technique
Keywords
cinematography; feature extraction; image reconstruction; image segmentation; video signal processing; background image analysis; background scene reconstruction; cinematography; foreground objects; low-level visual features; mosaic technique; shot grouping; shot similarity measure; video frame; video scene extraction; video semantic understanding; Cameras; Cinematography; Computer science; Data mining; Gunshot detection systems; Image analysis; Image reconstruction; Layout; Video compression; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.1173
Filename
1699943
Link To Document