Change search
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
Evaluation of Video Quality of Experience using EvalVid
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesisAlternative title
Evaluation of Video Quality of Experience using EvalVid (Swedish)
Abstract [en]

Videos play a very important role in today’s communication and entertainment world. Many services are being developed based on the concept of video like video streaming, video calling etc. The increase in demand for such services made the service providers evince interest in investigating, monitoring and maintaining the quality that they provide for such services. Also it is a crucial point that a bad quality video will degrade the Quality of Experience felt by the user. In order to improve Quality of Experience, video quality evaluation is necessary. For this purpose many tools to evaluate the quality of a video have been designed. In this thesis EvalVid is evaluated, which is an open source video quality evaluation tool. We have evaluated a set of videos using this tool to compare the performance of quality evaluation metrics like Peak Signal to Noise Ratio and Structural Similarity Index Metric. Affirmation of the results is done using Matlab, by calculating PSNR and SSIM for the same set of videos which have been used in EvalVid. These two tools calculate the metrics in two different ways, which is revealed by the observed differences in the results. A set of particular observations allow further conclusion that EvalVid is less credible than Matlab for evaluating quality of videos.

Place, publisher, year, edition, pages
2012. , 42 p.
Keyword [en]
Evaluation, Peak Signal to Noise Ratio, Structural Similarity Index Metric, Video quality, Quality of Experience (QoE).
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-4101Local ID: oai:bth.se:arkivexCF145E1275C90B2EC1257A79002D3D30OAI: oai:DiVA.org:bth-4101DiVA: diva2:831423
Uppsok
Technology
Supervisors
Note
Venkataramana Jonnalagadda Flat no. 206 Mytri Vihar Gupta Gardens, Ramanthapur, Hyderabad - 500013 Andhra Pradesh, India Vineela Musti HIG 89 Bharat Nagar Colony Near Ayyapa swamy temple Moosapet Hyderabad - 500018 Andhra Pradesh, IndiaAvailable from: 2015-04-22 Created: 2012-09-14 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(1478 kB)783 downloads
File information
File name FULLTEXT01.pdfFile size 1478 kBChecksum SHA-512
9461c1c1cda06ecfd320eac6a97235a4943cb5a741f427e0b2f0dc9f76b1a4374e440c72fc78239850ff9741cbabadcf8f7ae25cf558b81f73ebef1d6ac0f1ec
Type fulltextMimetype application/pdf

By organisation
School of Computing
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 783 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 104 hits
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