DocumentCode
2265713
Title
Video data management using a seeded region growing technique
Author
Wang, Jinsong ; Patel, Nilesh ; Grosky, William
Author_Institution
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
fYear
2004
fDate
13-15 Dec. 2004
Firstpage
561
Lastpage
564
Abstract
Video shot partition is the first step towards content-based video analysis. The objective of this paper is to present a novel solution to this problem in detail. This solution is provided in the form of a combination of both spatial and temporal information that are interrelated to each other in video sequences. We model the required measure functions using a robust metric for visual and temporal content similarity and employ a seeded region growing based method to the visual and temporal features of video sequences. The experimental results are demonstrated regarding various transitions and the improvements are shown.
Keywords
content management; feature extraction; image segmentation; image sequences; video databases; content-based video analysis; spatial information; temporal information; video data management; video sequences; video shot partition; Cameras; Computer science; Feature extraction; Gunshot detection systems; Histograms; Image segmentation; Information analysis; Information science; Robustness; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Software Engineering, 2004. Proceedings. IEEE Sixth International Symposium on
Print_ISBN
0-7695-2217-3
Type
conf
DOI
10.1109/MMSE.2004.87
Filename
1376708
Link To Document