Selecting Representative Thumbnail Image and Video Clip from a Video via Bullet Screen

Yun Ya Huang, Tong Yi Kuo, Hung Hsuan Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Finding representative thumbnails or key video clips in a long video usually requires laborious manual editing and compilation. Although there have been deep-learning-based methods that aim to understand videos and pictures, these approaches rely on a large number of computing resources and training data, and the results may still be unsatisfactory. This paper tackles the task of thumbnail selection and highlighting video selection from a different perspective - we leverage on the bullet screen, an emerging new feature on the online video streaming sites that are popular in East Asia, to select thumbnails and video clips. We compared the proposed method with a thumbnail and video clip selecting tool developed by KKStream, a leading streaming service provider in East Asia. We recruited 100 individuals to conduct subjective tests. The experimental results show that most participants are satisfied with the thumbnails and video clips selected by our method, suggesting that the bullet screen could be a valuable resource for video understanding.

原文???core.languages.en_GB???
主出版物標題The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
發行者Association for Computing Machinery
頁面48-49
頁數2
ISBN(電子)9781450370240
DOIs
出版狀態已出版 - 20 4月 2020
事件29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan
持續時間: 20 4月 202024 4月 2020

出版系列

名字The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020

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???event.eventtypes.event.conference???29th International World Wide Web Conference, WWW 2020
國家/地區Taiwan
城市Taipei
期間20/04/2024/04/20

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