BVI-HD: A Video Quality Database for HEVC Compressed and Texture Synthesised Content

Fan Zhang, Felix Mercer Moss, Roland Baddeley, David R. Bull

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

35 Citations (Scopus)
397 Downloads (Pure)


This paper introduces a new high definition video quality database, referred to as BVI-HD, which contains 32 reference and 384 distorted video sequences plus subjective scores. The reference material in this database was carefully selected to optimise the coverage range and distribution uniformity of five low level video features, while the included 12 distortions, using both original High Efficiency Video Coding (HEVC) and HEVC with synthesis mode (HEVC-SYNTH), represent state-of-the-art approaches to compression. The range of quantisation parameters included in the database for HEVC compression was determined by a subjective study, the results of which indicate that a wider range of QP values should be used than the current recommendation. The subjective opinion scores for all 384 distorted videos were collected from a total of 86 subjects, using a double stimulus test methodology. Based on these results, we compare the subjective quality between HEVC and synthesised content, and evaluate the performance of eight state-of-the-art, full-reference objective quality metrics. This database has now been made available online, representing a valuable resource to those concerned with compression performance evaluation and objective video quality assessment.
Original languageEnglish
Number of pages11
JournalIEEE Transactions on Multimedia
Early online date21 Mar 2018
Publication statusE-pub ahead of print - 21 Mar 2018

Structured keywords

  • Cognitive Science
  • Visual Perception


  • BVI-HD video quality database
  • HEVC
  • Subjective quality assessment
  • synthesis-based compression
  • visual perception


Dive into the research topics of 'BVI-HD: A Video Quality Database for HEVC Compressed and Texture Synthesised Content'. Together they form a unique fingerprint.
  • Vision for the Future-Full

    Bull, D. R.


    Project: Research


    Bull, D. R.


    Project: Research

Cite this