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Quality Assessment for HEVC Encoded Videos: Study of Transmission and Encoding Errors
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

There is a demand for video quality measurements in modern video applications specifically in wireless and mobile communication. In real time video streaming it is experienced that the quality of video becomes low due to different factors such as encoder and transmission errors. HEVC/H.265 is considered as one of the promising codecs for compression of ultra-high definition videos. In this research, full reference based video quality assessment is performed. The raw format reference videos have been taken from Texas database to make test videos data set. The videos are encoded using HM9 reference software in HEVC format. Encoding errors has been set during the encoding process by adjusting the QP values. To introduce packet loss in the video, the real-time environment has been created. Videos are sent from one system to another system over UDP protocol in NETCAT software. Packet loss is induced with different packet loss ratios into the video using NETEM software. After the compilation of video data set, to assess the video quality two kind of analysis has been performed on them. Subjective analysis has been carried on different human subjects. Objective analysis has been achieved by applying five quality matrices PSNR, SSIM, UIQI, VFI and VSNR. The comparison is conducted on the objective measurement scores with the subjective and in the end results deduce from classical correlation methods.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Full Reference Quality Measurement, HEVC, Packet Loss, Subjective and Objective Analysis.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-13656OAI: oai:DiVA.org:bth-13656DiVA: diva2:1061754
Subject / course
ET2524 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Signal Processing
Educational program
ETATE Master of Science Programme in Electrical Engineering with emphasis on Telecommunication Systems
Presentation
2016-11-30, Platon (J3506), Blekinge Tekniska Högskola, 371 79, Karlskrona, 13:00 (English)
Supervisors
Examiners
Available from: 2017-01-03 Created: 2016-12-21 Last updated: 2017-01-03Bibliographically approved

Open Access in DiVA

BTH2016Ansari(1427 kB)163 downloads
File information
File name FULLTEXT01.pdfFile size 1427 kBChecksum SHA-512
6e4a8bbd72c5a32fa52017aa390c52c8944ed986e588da6d2551f954a9fca662fed8a72354225ed255e2258c29ae340810a1c10a1938aaaa7399a761a37f4d38
Type fulltextMimetype application/pdf

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Ansari, Yousuf HameedSiddiqui, Sohaib Ahmed
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Total: 163 downloads
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CiteExportLink to record
Permanent link

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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