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.
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Yeh, CH., Chang, MK., Lu, KY., Shih, M. (2006). Robust TV News Story Identification Via Visual Characteristics of Anchorperson Scenes. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_62
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DOI: https://doi.org/10.1007/11949534_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
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