DocumentCode
588773
Title
Research on the Technology of Video Key Frame Extraction Based on Clustering
Author
Zhonglan Wu ; Pin Xu
Author_Institution
Commun. Univ. of China, Beijing, China
fYear
2012
fDate
2-4 Nov. 2012
Firstpage
290
Lastpage
293
Abstract
The video key frame extraction technology is one of the important parts of content-based video retrieval. And the mainstream of key frame extraction is the algorithm based on clustering. The basic idea is: the video frames are grouped in accordance with the correlation of the visual content by clustering, and then we extract the most representative frame from each group as a key frame. In this paper, several common key frame extraction algorithms based on clustering are elaborated along with their advantages and disadvantages.
Keywords
content-based retrieval; pattern clustering; video retrieval; clustering; content-based video retrieval; representative frame extraction; video key frame extraction technology; visual content; Clustering algorithms; Data mining; Feature extraction; Histograms; Image color analysis; Vectors; Visualization; clustering; key frame; video abstract;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-3093-0
Type
conf
DOI
10.1109/MINES.2012.190
Filename
6405681
Link To Document