Abstract
YouTubers have recently become highly popular. Generating eye-catching thumbnails is an important factor in attracting viewers. In this study, we propose an automatic YouTube-video-thumbnail generation method that ensures the following: rich facial expression of the YouTuber in the frame, clear presentation of the subject of the video, and clear description of the content through a headline. We compared thumbnails generated by the proposed method with those generated by existing methods or those of actually posted videos (i.e., ground truth), and we evaluated the results.
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CITATION STYLE
Shimono, A., Kakui, Y., & Yamasaki, T. (2020). Automatic YouTube-Thumbnail Generation and Its Evaluation. In MMArt-ACM 2020 - Proceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia (pp. 25–30). Association for Computing Machinery. https://doi.org/10.1145/3379173.3393711
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