Programs
- M. Tech. in Automotive Engineering -Postgraduate
- Paediatric Point of Care Ultrasound & Critical Care Certificate Course -Fellowship
Publication Type : Conference Proceedings
Publisher : Advances in Intelligent Systems and Computing
Source : Advances in Intelligent Systems and Computing, Volume 573, p.494-506 (2017)
ISBN : 9783319572604
Campus : Coimbatore
School : School of Engineering
Center : Electronics Communication and Instrumentation Forum (ECIF), Research & Projects
Department : Computer Science, Electronics and Communication
Verified : Yes
Year : 2017
Abstract : Identification of relevant frames from a video which can then be used as a summary of the video itself, is a challenging task. An attempt has been made in this study to empirically evaluate the effectiveness of data mining techniques in video summarization. Video Summarization systems based on histogram and entropy features extracted from three different color spaces: RGB, HSV and YCBCR and clustered using K-Means, FCM, GM and SOM were empirically evaluated on fifty video datasets from the VSUMM [1] database. Results indicate that clustering based video summarizations techniques can be effectively used for generating video summaries
Cite this Research Publication : A. John, Dr. Binoy B. Nair, and Dr. (Col.) Kumar P. N., “Application of Clustering Techniques for Video Summarization – An Empirical Study”, Advances in Intelligent Systems and Computing, vol. 573. pp. 494-506, 2017.