Robust TV Commercial Detection Based on Audiovisual Features

Shih Hung Lee*, Chia H. Yeh, C. C. Jay Kuo

*此作品的通信作者

研究成果: 雜誌貢獻會議論文同行評審

摘要

A robust TV commercial detection system is proposed in this research. Even though several methods were investigated to address the TV commercial detection problem and interesting results were obtained before, most previous work focuses on features within a short temporal window. These methods are suitable for on-line detection, but often result in higher false alarm rates as a trade-off. To reduce the false alarm rate, we explore audiovisual features in a larger temporal window. Specifically, we group shots into scenes using audio data processing, and then obtain features that are related to commercial characteristics from scenes. Experimental results are given to demonstrate the effectiveness of the proposed system.

原文英語
頁(從 - 到)147-158
頁數12
期刊Proceedings of SPIE - The International Society for Optical Engineering
5108
DOIs
出版狀態已發佈 - 2003
對外發佈
事件PROCEEDINGS OF SPIE SPIE - The International Society for Optical Engineering: Visual Information Processing XII - Orlando, FL, 美国
持續時間: 2003 4月 212003 4月 21

ASJC Scopus subject areas

  • 電子、光磁材料
  • 凝聚態物理學
  • 電腦科學應用
  • 應用數學
  • 電氣與電子工程

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