Shot boundary detection in MPEG videos using local and global indicators

  • Authors:

  • Jinchang Ren;Jianmin Jiang;Juan Chen

  • Affiliations:

  • Digital Media & System Institute, School of Informatics, University of Bradford, Bradford, UK;Digital Media & System Institute, School of Informatics, University of Bradford, Bradford, UK;Digital Media & System Institute, School of Informatics, University of Bradford, Bradford, UK

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2009

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Abstract

Shot boundary detection (SBD) plays important roles in many video applications. In this letter, we describe a novel method on SBD operating directly in the compressed domain. First, several local indicators are extracted from MPEG macroblocks, and AdaBoost is employed for feature selection and fusion. The selected features are then used in classifying candidate cuts into five sub-spaces via pre-filtering and rule-based decision making. Following that, global indicators of frame similarity between boundary frames of cut candidates are examined using phase correlation of dc images. Gradual transitions like fade, dissolve, and combined shot cuts are also identified. Experimental results on the test data from TRECVID'07 have demonstrated the effectiveness and robustness of our proposed methodology.