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A No Reference Video Quality Metric Based on Jerkiness Estimation Focusing on Multiple Frame Freezing in Video Streaming
Kumoh National Institute of Technology (KIT), KOR.
Kumoh National Institute of Technology (KIT), KOR.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2017 (English)In: IETE Technical Review, ISSN 0256-4602, E-ISSN 0974-5971, Vol. 34, no 3, 309-320 p.Article in journal (Refereed) Published
Abstract [en]

In wireless networks, due to limited bandwidth and packet losses, seamless and ubiquitous delivery of high-quality video streaming services is a big challenge for the operators. In order to improve the process of online video quality monitoring, the presence of no reference (NR) objective video quality assessment (VQA) methods is required. In some networks, the video decoder on the reception side adopts a mechanism in which last correctly received frame is frozen and displayed on video display terminal until the next correct frame is received. This phenomenon, employed as an error concealment technique, can cause a perceptual jerkiness on the video display terminal. In this paper, we have proposed an enhanced model of objective VQA based on the estimation of jerkiness. A study of three contemporary NR methods, used for objective VQA and online monitoring of videos, has been included along with subjective VQA tests. The subjective tests were performed for a set of video sequences with specific spatial and temporal information. The proposed NR method is based on our careful observations from the subjective test results and our main focus is to cater the effect of multiple frame freeze impairments in video steaming. Comparison with other NR methods shows that the proposed method performs better, in terms of estimating the impact of multiple frame freezing impairments, and has more affinity with the subjective test results.

Place, publisher, year, edition, pages
Taylor & Francis, 2017. Vol. 34, no 3, 309-320 p.
Keyword [en]
No reference, Temporal artefacts, Video quality assessment
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:bth-13257DOI: 10.1080/02564602.2016.1185975ISI: 000402715400009OAI: oai:DiVA.org:bth-13257DiVA: diva2:1037416
Note

open access

Available from: 2016-10-14 Created: 2016-10-14 Last updated: 2017-06-22Bibliographically approved

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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
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