Evaluation of objective quality metrics for multidimensional video scalability

Manri Cheon, Jong Seok Lee

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Multidimensional video scalability refers to the possibility that a video sequence can be adapted according to given conditions of video consumption by adjusting one or more of its features such as frame size, frame rate, and spatial quality. An important issue in implementing an adaptive video distribution scheme using scalability is how to maximize the quality of experience for the delivered contents, which raises a more fundamental issue, that is, how to estimate perceived quality of scalable video contents. This paper evaluates existing state-of-the-art objective quality metrics, including both generic image/video metrics and ones particularly developed for scalable videos, on the problem of quality assessment of multidimensional video scalability. It is shown that, on the whole, some recently developed metrics targeting scalability perform best. The results are thoroughly discussed in relation to the nature of the problem in comparison to what has been reported in existing studies for other problems.

Original languageEnglish
Pages (from-to)132-145
Number of pages14
JournalJournal of Visual Communication and Image Representation
Volume35
DOIs
Publication statusPublished - 2016 Feb 1

Bibliographical note

Funding Information:
This work was supported by the Ministry of Science, ICT and Future Planning (MSIP), Korea, under the IT Consilience Creative Program supervised by the Institute for Information and Communications Technology Promotion ( IITP-2015-R0346-15-1008 ), and by the Basic Science Research Program through the National Research Foundation of Korea funded by the MSIP ( 2013R1A1A1007822 ).

Publisher Copyright:
© 2015 Elsevier Inc.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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