8 0

Anchor frame detection in news video using anchor object extraction

Title
Anchor frame detection in news video using anchor object extraction
Author
박기태
Keywords
shot change detection; anchor frame extraction; anchor object extraction; graph-theoretic clustering
Issue Date
2005-06
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v. E88A, No. 6, Page. 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 anchorperson shots and non-anchor shots. Experimental results have shown the effectiveness of the proposed algorithm.
URI
https://search.ieice.org/bin/summary.php?id=e88-a_6_1525http://repository.hanyang.ac.kr/handle/20.500.11754/110881
ISSN
0916-8508; 1745-1337
DOI
10.1093/ietfec/e88-a.6.1525
Appears in Collections:
ETC > 연구정보
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE