Abstract
A new method to improve the performance of the anchorperson shot extraction from news programs is proposed in this paper. The anchorperson voice information is used for the verification of anchorperson shot candidates extracted by visual information. The algorithm starts with the anchorperson voice shot extraction using time and silence condition. The anchorperson voice models are created after segregating anchorperson voice shots containing 2 or more voices. The anchorperson voice model verifies the anchorperson shot candidates obtained from visual information. 720 minutes of news programs are tested and experimental results are demonstrated.
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© 2004 Springer-Verlag Berlin Heidelberg
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Kim, SK., Hwang, D.S., Kim, JY., Seo, YS. (2004). An Effective Anchorperson Shot Extraction Method Robust to False Alarms. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_32
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DOI: https://doi.org/10.1007/978-3-540-30541-5_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23974-1
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