Wisdom of the crowd in egocentric video curation

Yedid Hoshen*, Gil Ben-Artzi, Shmuel Peleg

*Corresponding author for this work

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

17 Scopus citations

Abstract

Videos recorded by wearable egocentric cameras can suffer from quality degradations that cannot always be fixed by current methods. When several wearable video cameras are viewing the same scene, each having highly variable quality, it is possible to combine them into a single high-quality video. Current techniques select for each point in time the highest quality video stream, but the highest quality video may not be relevant. E.g. the best quality video can come from a person that happen to look sideways from the main attraction. We propose the curation of a single video stream from multiple egocentric videos by requiring that the selected video will also view the most interesting region in the scene. Importance of a region is determined by the 'wisdom of the crowd', i.e. the number of cameras looking at a region. The resulting video is more interesting and of higher quality than any individual video streams can possibly obtain. Several examples are presented demonstrating the effectiveness of this technique.

Original languageAmerican English
Title of host publicationProceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
PublisherIEEE Computer Society
Pages587-593
Number of pages7
ISBN (Electronic)9781479943098, 9781479943098
DOIs
StatePublished - 24 Sep 2014
Event2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014 - Columbus, United States
Duration: 23 Jun 201428 Jun 2014

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
Country/TerritoryUnited States
CityColumbus
Period23/06/1428/06/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Egocentric Video
  • Frame Popularity
  • Multi-Video Editing
  • Video Curation
  • Video Stabilization
  • Video Stream Selection
  • Video Summarization

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