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Recognition of video sequences using low frequencies and color
University of Gävle, Department of Mathematics, Natural and Computer Sciences, Ämnesavdelningen för datavetenskap.
University of Gävle, Department of Mathematics, Natural and Computer Sciences, Ämnesavdelningen för matematik och statistik.
2008 (English)In: Advanced topics on signal processing, robotics and automation: proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA '08), Cambridge, UK, February 20-22 2008, WSEAS , 2008, p. 204-207Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for descriptive feature matching between two video streams of the same scene. The second video is a corrupted copy of the first video. Examples of reliable recognition of an original scene that is subjected for compression and noise are presented. The algorithm is invariant to image scale and rotation, providing robust matching across a substantial range of video signals. This paper shows an approach to using descriptive features for randomly chosen frames from video stream. By involving color information as a feature we increase the robustness of the identification process. The median of low frequencies is measured, followed by an average of spectral information from the same frame to identify clusters belonging to a scene in a film. Finally, a comparison analysis is done to verify the originality of the film.

Place, publisher, year, edition, pages
WSEAS , 2008. p. 204-207
Identifiers
URN: urn:nbn:se:hig:diva-1627ISBN: 978-960-6766-44-2 (print)OAI: oai:DiVA.org:hig-1627DiVA, id: diva2:118289
Available from: 2008-03-26 Created: 2008-03-26 Last updated: 2018-03-13Bibliographically approved

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Åhlén, JuliaSundgren, David

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Ämnesavdelningen för datavetenskapÄmnesavdelningen för matematik och statistik

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