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

Yun Ya Huang, Tong Yi Kuo, Hung Hsuan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
PublisherAssociation for Computing Machinery
Pages48-49
Number of pages2
ISBN (Electronic)9781450370240
DOIs
StatePublished - 20 Apr 2020
Event29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan
Duration: 20 Apr 202024 Apr 2020

Publication series

NameThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020

Conference

Conference29th International World Wide Web Conference, WWW 2020
Country/TerritoryTaiwan
CityTaipei
Period20/04/2024/04/20

Fingerprint

Dive into the research topics of 'Selecting Representative Thumbnail Image and Video Clip from a Video via Bullet Screen'. Together they form a unique fingerprint.

Cite this