Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Objective Video Quality Assessment - Towards large scale video database enhanced model development
University of Nantes, France.
Polytechnic University of Turin, Italy.
Ghent University, Belgium.
RISE., Swedish ICT, Acreo. Mid Sweden University, Sweden.ORCID-id: 0000-0001-5060-9402
Vise andre og tillknytning
2015 (engelsk)Inngår i: IEICE transactions on communications, ISSN 0916-8516, E-ISSN 1745-1345, Vol. E98.B, nr 1, s. 2-11Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The current development of video quality assessment algorithms suffers from the lack of available video sequences for training, verification and validation to determine and enhance the algorithm’s application scope. The Joint Effort Group of the Video Quality Experts Group (VQEG-JEG) is currently driving efforts towards the creation of large scale, reproducible, and easy to use databases. These databases will contain bitstreams of recent video encoders (H.264, H.265), packet loss impairment patterns and impaired bitstreams, pre-parsed bitstream information into files in XML syntax, and well-known objective video quality measurement outputs. The database is continuously updated and enlarged using reproducible processing chains. Currently, more than 70,000 sequences are available for statistical analysis of video quality measurement algorithms. New research questions are posed as the database is designed to verify and validate models on a very large scale, testing and validating various scopes of applications, while subjective assessment has to be limited to a comparably small subset of the database. Special focus is given on the principles guiding the database development, and some results are given to illustrate the practical usefulness of such a database with respect to the detailed new research questions.

sted, utgiver, år, opplag, sider
2015. Vol. E98.B, nr 1, s. 2-11
Emneord [en]
video quality assessment, large scale database, reproducible research
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-31917DOI: 10.1587/transcom.E98.B.2Scopus ID: 2-s2.0-84924690334OAI: oai:DiVA.org:ri-31917DiVA, id: diva2:1151775
Tilgjengelig fra: 2017-10-24 Laget: 2017-10-24 Sist oppdatert: 2023-05-25bibliografisk kontrollert

Open Access i DiVA

fulltext(2035 kB)146 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 2035 kBChecksum SHA-512
b8d640a59dd2c36020a85ec2aa5e0ba9b6af6913ca9ef05b38db6a66ba8d7431e1b7022756af73a778469fc9ae2ecba1c3ef483e86b5fa26afa2f9808fab4b17
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Person

Brunnström, Kjell

Søk i DiVA

Av forfatter/redaktør
Brunnström, Kjell
Av organisasjonen
I samme tidsskrift
IEICE transactions on communications

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 146 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 209 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.44.0