A multi-metric approach for block-level video quality assessment

Miltiadis Alexios Papadopoulos, Angeliki Katsenou*, Dimitris Agrafiotis, David Bull

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)
127 Downloads (Pure)


Developing an objective video quality metric that accurately estimates perceived video quality is challenging. Developing a metric that can additionally be embedded in the rate distortion optimisation process of a video codec can be even harder given that decisions have to be made locally. In this paper, we present a method for combining a number of existing state of the art objective video quality metrics at the coding block level by employing a fusion of local content features for deciding how to best utilise the chosen metrics. Our results indicate promising performance in terms of the correlation of the developed locally-acting quality metric with the overall perceived quality of the video.
Original languageEnglish
Pages (from-to)152-158
Number of pages7
JournalSignal Processing: Image Communication
Early online date28 Jun 2019
Publication statusPublished - 1 Oct 2019


  • Block-level
  • Content features
  • Fusion of metrics
  • RDO
  • Video quality assessment


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