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An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis
Open accessAbstract
Key frames and previews are two forms of a video abstract, widely used for various applications in video browsing and retrieval systems. We propose in this paper a novel method for generating these two abstract forms for an arbitrary video sequence. The underlying principle of the proposed method is the removal of the visual-content redundancy among video frames. This is done by first applying multiple partitional clustering to all frames of a video sequence and then selecting the most suitable clustering option(s) using an unsupervised procedure for cluster-validity analysis. In the last step, key frames are selected as centroids of obtained optimal clusters. Video shots, to which key frames belong, are concatenated to form the preview sequence.
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Cited by
Video abstraction: A systematic review and classification
Truong, B. T., & Venkatesh, S. (2007) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/1198302.1198305 · Cited by 833
Content-based image copy detection
Kim, C. (2003) · Signal Processing Image Communication · doi:10.1016/s0923-5965(02)00130-3 · Cited by 165
On clustering and retrieval of video shots through temporal slices analysis
Ngo, C.-W., Pong, T.-C., & Zhang, H.-J. (2002) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2002.802022 · Cited by 118
Self-citation
Metadata
- Authors
- Hanjalic, A., & Zhang, H.
- Venue
- IEEE Transactions on Circuits and Systems for Video Technology
- Published
- 1999
- Volume
- 9
- Issue
- 8
- Pages
- 1280-1289
- ISSN
- 1051-8215 (ISSN-L)
- OpenAlex
- W2163461766
- Cited by
- 322
- References
- 0
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- green
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- Hanjalic, A., & Zhang, H. (1999). An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis. IEEE Transactions on Circuits and Systems for Video Technology. https://doi.org/10.1109/76.809162
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