Paper Info
Title
AnchorClu: An Anchorperson Shot Detection Method Based on Clustering
Abstract
Anchorperson shot detection is an effective way of news video structuring. According to some features of anchorperson shots, such as visually similar with each other, long duration, and large span, etc., an anchorperson shot detection method based on clustering called AnchorClu is proposed. After fast clustering of shots’ key frames, some clusters including the anchorperson cluster can be got. Then by some proper rules, the anchorperson cluster is selected out, and the anchorperson shots can also be extracted to help the analysis of news video structuring. Experiments prove the effectiveness of the method, which is fast and gets the average recall of 93% and the average precision of 98%.
Year
DOI
Venue
2005
10.1109/PDCAT.2005.90
PDCAT
Keywords
Field
DocType
fast clustering,anchorperson shot,news video structure,average precision,key frame,anchorperson shot detection method,detection method,long duration,anchorperson cluster,large span,average recall,feature extraction,visual perception,distributed computing,skin
Computer vision,Computer science,Feature extraction,Artificial intelligence,Cluster analysis,Structuring,Visual perception
Conference
ISBN
Citations 
PageRank 
0-7695-2405-2
3
0.46
References 
Authors
6
5
Name
Order
Citations
PageRank
Xi-Dao Luan133.50
Yu-Xiang Xie277.96
Lingda Wu38217.97
Jun Wen431.14
Song-Yang Lao520621.58