Work place: Computer Science and Engineering Discipline, Khulna University, Khulna-9208, Bangladesh
Research Interests: Computational Science and Engineering, Computational Engineering, Software Construction, Software Engineering
Md. Ashiqur Rahman: Obtained Bachelor in Computer Science and Engineering degree from Khulna University, Khulna, Bangladesh in 2018. Currently he is doing Masters in Computer Science and Engineering in Khulna University, Khulna, Bangladesh. He is also serving as Software Engineer in a private IT firm.
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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