A repeated video clip identification system

  • Authors:
  • Xianfeng Yang;Ping Xue;Qi Tian

  • Affiliations:
  • Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Institute for Infocomm Research, Singapore

  • Venue:
  • Proceedings of the 13th annual ACM international conference on Multimedia
  • Year:
  • 2005

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Abstract

Identifying short repeated video clips, such as news program logo, station logo, TV commercials, etc., from broadcasting video databases or streams is important for video content indexing, personalization as well as monitoring. In this demo system we present the following two functions: 1) automatically identifying variable length unknown repeated clips and known reference clips from video collections or steams; 2) visualize temporal distribution of repeated short video clips and analyze video structure based them. Experiment has been conducted on 12 hour CNN and ABC news videos, and excellent results have been achieved in both short repeated video clip identification and news video structure analysis.