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http://dx.doi.org/10.14702/JPEE.2022.439

A Research on the Teaser Video Production Method by Keyframe Extraction Based on YCbCr Color Model  

Lee, Seo-young (Department of Computer Science and Engineering, Korea University of Technology and Education)
Park, Hyo-Gyeong (Department of Computer Science and Engineering, Korea University of Technology and Education)
Young, Sung-Jung (Department of Computer Science and Engineering, Korea University of Technology and Education)
You, Yeon-Hwi (Department of Computer Science and Engineering, Korea University of Technology and Education)
Moon, Il-Young (Department of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
Journal of Practical Engineering Education / v.14, no.2, 2022 , pp. 439-445 More about this Journal
Abstract
Due to the development of online media platforms and the COVID-19 incident, the mass production and consumption of digital video content are rapidly increasing. In order to select digital video content, users grasp it in a short time through thumbnails and teaser videos, and select and watch digital video content that suits them. It is very inconvenient to check all digital video contents produced around the world one by one and manually edit teaser videos for users to choose from. In this paper, keyframes are extracted based on YCbCr color models to automatically generate teaser videos, and keyframes extracted through clustering are optimized. Finally, we present a method of producing a teaser video to help users check digital video content by connecting the finally extracted keyframes.
Keywords
Dynamic Clustering; Histogram; Keyframe; MovieNet; Teaser Video; YCbCr;
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Times Cited By KSCI : 1  (Citation Analysis)
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