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Hotflashes: thumbnailing videos of social gatherings by detecting camera flash illuminated frames

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

Automatic annotation of video clips is desired to efficiently thumbnail user generated content available in the Internet. Automatic techniques typically focus on a selected set of inherent video features (such as scene-cut or shot boundaries) that are deemed to be salient. Along this line, the presence of camera flash light illumination is a feature of interest. This event is usually triggered manually (by a photographer) within a scene and the selected frame(s) they occur in are deemed to be interesting in the recording: for instance, the appearance of a celebrity in a party. In this paper we present a method to detect video frames that contain flashes originating from still cameras in user generated video clips. We focus on designing features for flash illumination detection using various measures of luminance change within video sequences. Using the proposed method, we obtain detection performance of approximately 89% which is 8% absolute improvement over the baseline method that uses only change in average illumination. We also illustrate a case where flashes are automatically detected in video clips of social gatherings that can be used for thumbnailing and browsing.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 05/09/2011

Publication status

Published - 05/09/2011

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781612843490

ISBN (Electronic)

9781612843490

External Publication IDs

  • handle.net: 10547/292593
  • Scopus: 80155156874

Host publication title

nan

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