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Analysera stora mängder video och bildmaterial
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
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2017 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , p. 80
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-138663ISRN: LIU-IDA/LITH-EX-G--17/036--SEOAI: oai:DiVA.org:liu-138663DiVA, id: diva2:1112749
Subject / course
Computer science
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Examiners
Available from: 2017-06-22 Created: 2017-06-20 Last updated: 2017-06-22Bibliographically approved

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Analysera stora mängder video och bildmaterial(1753 kB)82 downloads
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File name FULLTEXT01.pdfFile size 1753 kBChecksum SHA-512
b0a7e4043bc0d0a4d58c36382ffb74048c26ef4dc5d9e6488834c6ebccd40eab2a2bfd0397924d6f458afc30e52caa9c69e11c8fc5d3a91bac3a2cad24c782f4
Type fulltextMimetype application/pdf

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Yildiz, GeorgeIselius, FredrikLundgren, PatrikPersson, HenrikPersson Proos, DanielSörliden, PärNilsson, Kristian
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
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