Abstract

The camera is a ubiquitous and inseparable part of our daily life. However, the camera also puts people's privacy at risk because people are more likely to be unexpectedly captured due to the increased amount of cameras. Video redaction systems have been proposed to selectively redact facial information in a video. However, they are either not secure enough to protect all facial information or too secure to redact image areas not revealing facial information. To solve this problem, this paper proposes the Facial Information Segmentation algorithm (FIS) that combines the Harris Corner, the color information and an off-the-shelf face detection algorithm to identify pixels revealing facial information. We evaluate this method by comparing it with the human trace tracking (HTT) and an off-the-shelf face detection algorithm (FD) proposed in earlier works. The result demonstrates that FD is unsuitable for video redaction. Further, compared with HTT, FIS achieves higher background preservation with negligible loss of video privacy in most cases.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages360-365
Number of pages6
ISBN (Electronic)9781728111988
DOIs
StatePublished - Apr 22 2019
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

Fingerprint

Face recognition
Cameras
Pixels
Color

Keywords

  • Privacy
  • Video Redaction

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Media Technology

Cite this

Chen, B., & Nahrstedt, K. (2019). FIS: Facial Information Segmentation for Video Redaction. In Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019 (pp. 360-365). [8695409] (Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MIPR.2019.00071

FIS : Facial Information Segmentation for Video Redaction. / Chen, Bo; Nahrstedt, Klara.

Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 360-365 8695409 (Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019).

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

Chen, B & Nahrstedt, K 2019, FIS: Facial Information Segmentation for Video Redaction. in Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019., 8695409, Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019, Institute of Electrical and Electronics Engineers Inc., pp. 360-365, 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019, San Jose, United States, 3/28/19. https://doi.org/10.1109/MIPR.2019.00071
Chen B, Nahrstedt K. FIS: Facial Information Segmentation for Video Redaction. In Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 360-365. 8695409. (Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019). https://doi.org/10.1109/MIPR.2019.00071
Chen, Bo ; Nahrstedt, Klara. / FIS : Facial Information Segmentation for Video Redaction. Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 360-365 (Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019).
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