Work place: Computer Science and Engineering Discipline, Khulna University, Khulna-9208, Bangladesh
Research Interests: Computer systems and computational processes, Computational Learning Theory, Computer Vision, Image Processing, Data Mining, Data Structures and Algorithms
S M Rafizul Haque: Received PhD degree from University of Saskatchewan, Canada in 2016. He received BSc degree in Computer Science and Engineering from Khulna University, Bangladesh in 1996 and MSc degree in Computer Science from Blekinge Institute of Technology, Sweden in 2008. He is currently a professor in the Computer Science and Engineering Discipline, Khulna University, Bangladesh. His research interests include image processing, computer vision, machine learning and data mining. He has published several research papers in international journals and conferences.
DOI: https://doi.org/10.5815/ijitcs.2018.07.03, Pub. Date: 8 Jul. 2018
Over the last few years, the amount of video data has increased significantly. So, the necessity of video summarization has reached a new level. Video summarization is summarizing a large video with a fewer number of frames keeping the semantic content same. In this paper, we have proposed an approach which takes all the frames from a video and then shot boundaries are detected using the color moment and SURF (Speeded Up Robust Features). Then the redundancy of the similar frames is eliminated using the color histogram. Finally, a summary slide is generated with the remaining frames which are semantically similar to the total content of the original video. Our experimental result is calculated on the basis of a questionnaire-based user survey which shows on average 78% positive result whereas 3.5% negative result. This experimental result is quite satisfactory in comparison with the existing techniques.[...] Read more.
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