Modelling of content-aware indicators for effective determination of shot boundaries in compressed MPEG videos
Chen, J. and Ren, Jinchang and Jiang, J. (2010) Modelling of content-aware indicators for effective determination of shot boundaries in compressed MPEG videos. Multimedia Tools and Applications, 54 (2). pp. 219-239. ISSN 1380-7501
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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.
Creators(s): |
Chen, J., Ren, Jinchang ![]() | Item type: | Article |
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ID code: | 29264 |
Keywords: | multimedia, imaging techniques, shot boundaries, MPEG video, Electronic computers. Computer science, Hardware and Architecture, Media Technology, Software, Computer Networks and Communications |
Subjects: | Science > Mathematics > Electronic computers. Computer science |
Department: | Faculty of Engineering > Electronic and Electrical Engineering |
Depositing user: | Pure Administrator |
Date deposited: | 16 Mar 2011 14:10 |
Last modified: | 20 Jan 2021 19:12 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/29264 |
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