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Challenges with Per-Frame Metadata With Focus on Scalability
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Video metadata opens up a lot of possibilities both for users and for content managers. Recently tools for automatically creating metadata via speech-totext,face recognition and object tracking among other techniques have made metadata even more relevant. Metadata for object tracking also creates the problem of needing to be bound to individual metadata frames. This thesis tries to find what the challenges are with per-frame metadata and how it could be stored in a way that scales vertically. A pre-study was made which tried to discover possible ways to deal with it and find pros and cons with each alternative. PostgreSQL (a relational dbms) was deemed the best alternative and the performance of it was tested by running a series of queries with different population levels. The results were that the search times seemed to be log(n) which means that it scales well. The relational database proved to work well in the other aspects as well.

Place, publisher, year, edition, pages
2016. , 49 p.
Series
UMNAD, 1075
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-128413OAI: oai:DiVA.org:umu-128413DiVA: diva2:1051985
External cooperation
CodeMill
Educational program
Master of Science Programme in Computing Science and Engineering
Supervisors
Examiners
Available from: 2016-12-06 Created: 2016-12-05 Last updated: 2016-12-06Bibliographically approved

Open Access in DiVA

fulltext(436 kB)57 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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