Automatic segmentation of news items based on video and audio features

  • Authors:

  • Wang Weiqiang;Gao Wen

  • Affiliations:

  • lnstitute of Computing Technology, The Chinese Academy of Sciences, Beijing 100080, P.R. China;lnstitute of Computing Technology, The Chinese Academy of Sciences, Beijing 100080, P.R. China and Department of Computer Science, Harbin Institute of Technology, Harbin 150001, P.R. China

  • Venue:
  • Journal of Computer Science and Technology
  • Year:
  • 2002

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Abstract

The automatic segmentation of news items is a key for implementing the automatic cataloging system of news video. This paper presents an approach which manages audio and video feature information to automatically segment news items. The integration of audio and visual analyses can overcome the weakness of the approach using only image analysis techniques. It makes the approach more adaptable to various situations of news items. The proposed approach detects silence segments in accompanying audio, and integrates them with shot segmentation results, as well as anchor shot detection results, to determine the boundaries among news items. Experimental results show that the integration of audio and video features is an effective approach to solving the problem of automatic segmentation of news items.