Paper Info
Title
Anchor Frame Detection in News Video Using Anchor Object Extraction*
Abstract
In this paper, an algorithm for anchor frame detection in news video is proposed, which consists of four steps. First, the cumulative histogram method is used to detect shot boundaries in order to segment a news video into video shots. Second, skin color information is used to detect face regions in each video shot. Third, color information of upper body regions is used to extract anchor object. Then, a graph-theoretic cluster analysis algorithm is utilized to classify the news video into anchor-person shots and non-anchor shots. Experimental results have shown the effectiveness of the proposed algorithm.
Year
DOI
Venue
2005
10.1093/ietfec/e88-a.6.1525
IEICE Transactions
Keywords
Field
DocType
shot change detection, anchor frame extraction, anchor object extraction, graph-theoretic clustering
World Wide Web,Engineering
Journal
Volume
Issue
ISSN
E88-A
6
0916-8508
Citations 
PageRank 
References 
2
0.45
0
Authors
3
Name
Order
Citations
PageRank
Ki Tae Park1246.23
Doo Sun Hwang2111.33
Young Shik Moon311016.82