Anchor Frame Detection in News Video Using Anchor Object Extraction
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.6 pp.1525-1528
- Publication Date
- 2005/06/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.6.1525
- Type of Manuscript
- Special Section LETTER (Special Section on Papers Selected from 2004 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2004))
- Category
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Ki Tae PARK, Doo Sun HWANG, Young Shik MOON, "Anchor Frame Detection in News Video Using Anchor Object Extraction" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 6, pp. 1525-1528, June 2005, doi: 10.1093/ietfec/e88-a.6.1525.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.6.1525/_p
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@ARTICLE{e88-a_6_1525,
author={Ki Tae PARK, Doo Sun HWANG, Young Shik MOON, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Anchor Frame Detection in News Video Using Anchor Object Extraction},
year={2005},
volume={E88-A},
number={6},
pages={1525-1528},
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.},
keywords={},
doi={10.1093/ietfec/e88-a.6.1525},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - Anchor Frame Detection in News Video Using Anchor Object Extraction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1525
EP - 1528
AU - Ki Tae PARK
AU - Doo Sun HWANG
AU - Young Shik MOON
PY - 2005
DO - 10.1093/ietfec/e88-a.6.1525
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2005
AB - 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.
ER -
English
