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Anonymous video processing for live street view
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab)
2011 (English)In: 2011 IEEE International Conferences on Internet of Things, and Cyber, Physical and Social Computing, Los Alamitos: IEEE Computer Society, 2011, 109-113 p.Conference paper, Published paper (Refereed)
Abstract [en]

We propose a method for hiding the identity of persons and objects in video sequences. This type of video sequence will be used in applications where the scene is important but the identity of persons should be unrecognizable, e.g., street view applications. Other parts, such as company logos, names on house doors or license plates on parked cars should not be recognizable as well. This is today solved in street view by blurring out parts of images that are compressed with standard encoding techniques. We propose a method that automatically will blur out parts that are moving but still show the motion. Our technique requires very low bitrates for video transmission; almost as low as for a still image. The low bitrate and the low computational complexity will enable video views of streets at the same costs as for still images.

Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2011. 109-113 p.
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:umu:diva-49280DOI: 10.1109/iThings/CPSCom.2011.106ISBN: 978-1-4577-1976-9 (print)OAI: oai:DiVA.org:umu-49280DiVA: diva2:454002
Conference
2011 IEEE International Conferences on Internet of Things, Dalian, China, October 19-22, 2011
Available from: 2011-11-04 Created: 2011-11-04 Last updated: 2012-08-15Bibliographically approved

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Söderström, UlrikLi, Haibo
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf