Shamim Hasan

Work place: Computer Science and Engineering Discipline, Khulna University, Khulna-9208, Bangladesh



Research Interests: Applied computer science, Computer systems and computational processes, Theoretical Computer Science


Shamim Hasan: 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.

Author Articles
Creation of Video Summary with the Extracted Salient Frames using Color Moment, Color Histogram and Speeded up Robust Features

By Md. Ashiqur Rahman Shamim Hasan S.M. Rafizul Haque

DOI:, 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.

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