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Adaptive key frame extraction using unsupervised clustering
Abstract
Key frame extraction has been recognized as one of the important research issues in video information retrieval. Although progress has been made in key frame extraction, the existing approaches are either computationally expensive or ineffective in capturing salient visual content. We first discuss the importance of key frame selection; and then review and evaluate the existing approaches. To overcome the shortcomings of the existing approaches, we introduce a new algorithm for key frame extraction based on unsupervised clustering. The proposed algorithm is both computationally simple and able to adapt to the visual content. The efficiency and effectiveness are validated by large amount of real-world videos.
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Cited by
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Truong, B. T., & Venkatesh, S. (2007) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/1198302.1198305 · Cited by 833
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Song, Y., Vallmitjana, J., Stent, A., & Jaimes, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7299154 · Cited by 623
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Chen, T. Y.-H., Ravindranath, L., Deng, S., Bahl, P., & Balakrishnan, H. (2015) · Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems · doi:10.1145/2809695.2809711 · Cited by 358
Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics
Li, Y., Padmanabhan, A., Zhao, P., Wang, Y., Xu, G. H., & Netravali, R. (2020) · Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication · doi:10.1145/3387514.3405874 · Cited by 269
Audio-Visual Emotion Recognition in Video Clips
Noroozi, F., Marjanovic, M., Njegus, A., Escalera, S., & Anbarjafari, G. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2713783 · Cited by 266
Metadata
- Authors
- Zhuang, Y., Rui, Y., Huang, T. S., & Mehrotra, S.
- Venue
- Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-27
- Volume
- 1
- Pages
- 866-870
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2129291408
- Cited by
- 505
- References
- 0
- FWCI
- 15.48
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Zhuang, Y., Rui, Y., Huang, T. S., & Mehrotra, S. (2002). Adaptive key frame extraction using unsupervised clustering. Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269). https://doi.org/10.1109/icip.1998.723655
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