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IJMLC 2014 Vol.4(4): 359-364 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.437

Rushes Video Summarization by Audio-Filtering Visual Features

Yin-Fu Huang and Wei-Chung Chen

Abstract—In this paper, we propose a video summarization system for analyzing basketball game videos. In contrast to previous video analysis technologies employing only visual and motion features to do video filtering, we add audio features to do video summarization in the system. First, we extract replay highlights by special effect detection. Next, we filter landscape shots using color range pixel and fast motion activity. Then, the corresponding audio features extracted from these landscape shots are used to identify landscape shot highlights by an SVM. Finally, we integrate the replay highlights and landscape shot highlights to complete the video summarization. From the experimental results, we find that the accuracy on the special effect detection, landscape shot extraction, and landscape shot highlight detection is very high. Thus, the final video summarization has high recall values on highlight extraction.

Index Terms—Basketball video, landscape shot highlight, replay highlight, video summarization.

Yin-Fu Huang is with National Yunlin University of Science and Technology, Yunlin, Taiwan 640 (e-mail: huangyf@yuntech.edu.tw).
Wei-Chung Chen is with Chung Shan Institute of Science and Technology, Taoyuan, Taiwan 325 (e-mail: evolution.bu@gmail.com).

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Cite: Yin-Fu Huang and Wei-Chung Chen, "Rushes Video Summarization by Audio-Filtering Visual Features," International Journal of Machine Learning and Computing vol.4, no. 4, pp. 359-364, 2014.

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net


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