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Face Recognition for Annotation in Media Asset Management Systems
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The goal of this thesis was to evaluate alternatives to the Wawo face recognition (fr) library, used by the company CodeMill AB in an application for video-based fr, implemented as a plugin to the media asset management system Vidispine. The aim was to improve the fr performance of the application, and the report tried to compare the performance of recent versions of Open Source Biometrics Recognition (OpenBR) and Open Source Computer Vision (OpenCV ) to Wawo.For comparison of the fr systems, roc curves and area under roc curves (auc) metrics were used. Two different test videos were used: one simpler shot with webcam and one excerpt from a tv music show. The results are somewhat inconclusive; the Wawo system had technical diffculties with the biggest test case. However, it performed better than OpenBR in the two other cases (comparing auc values), which leads to the conclusion that Wawo would have outperformed the other systems for all test cases if it had worked. Finally, the comparison shows that OpenBR is better than OpenCV for two of the three test cases.

Place, publisher, year, edition, pages
2013.
Series
UMNAD, 952
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-80874OAI: oai:DiVA.org:umu-80874DiVA: diva2:651765
External cooperation
CodeMill
Educational program
Master of Science Programme in Computing Science and Engineering
Supervisors
Examiners
Available from: 2013-09-27 Created: 2013-09-27 Last updated: 2013-09-27Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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