Video-shot transition detection: A spatio-temporal saliency approach

Xian Wu*, Jianhuang Lai, Pong Chi YUEN

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

1 Citation (Scopus)


This paper proposes a novel approach for video-shot transition detection using spatio-temporal saliency. Both temporal and spatial information are combined to generate a saliency map, and features are available based on the change of saliency. Considering the context of shot changes, a statistical detector is constructed to determine all types of shot transitions by the minimization of the detection-error probability simultaneously under the same framework. The evaluation performed on videos of various content types demonstrates that the proposed approach outperforms a more recent method and two publicly available systems, namely VideoAnnex and VCM.

Original languageEnglish
Pages (from-to)1295-1309
Number of pages15
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Issue number8
Publication statusPublished - Dec 2010

Scopus Subject Areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

User-Defined Keywords

  • Shot transition detection
  • spatial saliency
  • spatio-temporal saliency map
  • temporal saliency


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