@inproceedings{7d991e29f4544b73972d82a386ba152a,
title = "Robust TV news story identification via visual characteristics of anchorperson scenes",
abstract = "In this paper, a new scheme for TV news segmentation via exploring the efficient visual features is proposed especially for TV news which contains lots of changeful background of anchorperson shots. The proposed scheme can be divided into two parts: probable anchorperson shot detection and real anchorperson detection. Our proposed method can efficiently detect anchorperson shots even though anchorperson shots contain changeful background and anchorperson position variation. Meanwhile, non-anchorperson shots can be robustly excluded from report shots such as interview scenes. Experimental results are given to demonstrate the feasibility and efficiency of the proposed techniques.",
keywords = "Anchorperson detection, Face recognition, Skin color, TV news segmentation, Visual features",
author = "Yeh, {Chia Hung} and Chang, {Min Kuan} and Lu, {Ko Yen} and Maverick Shih",
year = "2006",
doi = "10.1007/11949534_62",
language = "English",
isbn = "354068297X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "621--630",
booktitle = "Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings",
note = "1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 ; Conference date: 10-12-2006 Through 13-12-2006",
}