Subjective evaluation of next-generation video compression algorithms: A case study

Francesca De Simone, Lutz Goldmann, Jong Seok Lee, Touradj Ebrahimi, Vittorio Baroncini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper describes the details and the results of the subjective quality evaluation performed at EPFL, as a contribution to the effort of the Joint Collaborative Team on Video Coding (JCT-VC) for the definition of the next-generation video coding standard. The performance of 27 coding technologies have been evaluated with respect to two H.264/MPEG-4 AVC anchors, considering high definition (HD) test material. The test campaign involved a total of 494 naive observers and took place over a period of four weeks. While similar tests have been conducted as part of the standardization process of previous video coding technologies, the test campaign described in this paper is by far the most extensive in the history of video coding standardization. The obtained subjective quality scores show high consistency and support an accurate comparison of the performance of the different coding solutions.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXIII
DOIs
Publication statusPublished - 2010 Dec 1
EventApplications of Digital Image Processing XXXIII - San Diego, CA, United States
Duration: 2010 Aug 22010 Aug 4

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7798
ISSN (Print)0277-786X

Other

OtherApplications of Digital Image Processing XXXIII
CountryUnited States
CitySan Diego, CA
Period10/8/210/8/4

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    De Simone, F., Goldmann, L., Lee, J. S., Ebrahimi, T., & Baroncini, V. (2010). Subjective evaluation of next-generation video compression algorithms: A case study. In Applications of Digital Image Processing XXXIII [779811] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7798). https://doi.org/10.1117/12.863485