Abstract
Captions present in video frames play an important role in understanding video content. This paper presents a fast algorithm to automatically detect captions in MPEG compressed video. It is based on statistics features of caption text’s chrominance components. The paper also discusses its principle and speed-up mechanism in detail. We have successfully exploited the technique to automatically construct the pictorial catalogue, a new content representation. Experiment results show the proposed caption detection algorithm has not only the ideal accuracy 96.6% and recall l00%, but also a detection speed of faster than real time.
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© 2000 Springer-Verlag Berlin Heidelberg
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Wang, W., Gao, W., Li, J., Lin, S. (2000). News Content Highlight via Fast Caption Text Detection on Compressed Video. In: Leung, K.S., Chan, LW., Meng, H. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents. IDEAL 2000. Lecture Notes in Computer Science, vol 1983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44491-2_64
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DOI: https://doi.org/10.1007/3-540-44491-2_64
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