Automatic Tour Video Summarization Focusing on Scene Change for Advance Touristic Experience

Yuki Kanaya, Shogo Kawanaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a novel time-lapse based video summarization method without substantial loss of information important for viewers to plan a tour route. In the proposed method, we focus on scene changes in the video. We extract scenes with a certain level of changes compared to previous scenes as important (slowly played back) in the summarized video, while other scenes are fast forwarded. To evaluate the effectiveness of our proposed method, comparing the video summarized with our method and that summarized manually (by voting for necessary/unnecessary scenes), our method identified the important scenes with an F-measure of 62.22%.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages391-392
Number of pages2
ISBN (Electronic)9781728111988
DOIs
Publication statusPublished - Apr 22 2019
Externally publishedYes
Event2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019 - San Jose, United States
Duration: Mar 28 2019Mar 30 2019

Publication series

NameProceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019

Conference

Conference2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019
CountryUnited States
CitySan Jose
Period3/28/193/30/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Media Technology

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