Modelling of content-aware indicators for effective determination of shot boundaries in compressed MPEG videos

J. Chen, Jinchang Ren, J. Jiang

Research output: Contribution to journalArticle

11 Citations (Scopus)
68 Downloads (Pure)

Abstract

In this paper, a content-aware approach is proposed to design multiple test
conditions for shot cut detection, which are organized into a multiple phase decision tree for abrupt cut detection and a finite state machine for dissolve detection. In comparison with existing approaches, our algorithm is characterized with two categories of content difference indicators and testing. While the first category indicates the content changes that are directly used for shot cut detection, the second category indicates the contexts under which the content change occurs. As a result, indications of frame differences are tested
with context awareness to make the detection of shot cuts adaptive to both content and context changes. Evaluations announced by TRECVID 2007 indicate that our proposed algorithm achieved comparable performance to those using machine learning approaches, yet using a simpler feature set and straightforward design strategies. This has validated the effectiveness of modelling of content-aware indicators for decision making, which also provides a good alternative to conventional approaches in this topic.
Original languageEnglish
Pages (from-to)219-239
Number of pages11
JournalMultimedia Tools and Applications
Volume54
Issue number2
DOIs
Publication statusPublished - Aug 2010

Keywords

  • multimedia
  • imaging techniques
  • shot boundaries
  • MPEG video

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