University of Bristol

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

Fan Zhang, Felix Mercer Moss, Roland Baddeley and David Bull

ABSTRACT

BVI-HD is a new high definition video quality database, which contains 32 reference and 384 distorted video sequences. Reference material in this database was carefully selected to optimise the coverage range and distribution uniformity of video features, while the included 12 distortions, using both High Efficiency Video Coding (HEVC) and its synthesis integrated codec, represent state-of-the-art approaches to compression. The subjective opinion scores for all 384 distorted videos were collected from a total of 43 subjectives, using a double stimulus test methodology. Based on the analysis of these results, we illustrate the psychometric functions for HEVC compressed videos, and compare the subjective quality between HEVC and synthesised content. Benchmark results of the BVI-HD database, using Eight state-of-the-art, full-reference objective quality metrics are also provided in this paper, which yield lower correlations with human performance than similar analysis using other video databases. This database has now been made available online, representing a valuable resource to those concerned with compression performance compression performance evaluation and objective video quality assessment.

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If this content has been mentioned in a research publication, please give credit to both CDVL and the University of Bristol, by referencing the following papers:

[1] Fan Zhang, Felix Mercer Moss, Roland Baddeley, and David, R. Bull, “BVI-HD: A Video Quality Database for HEVC Compressed and Texture Synthesised Content”, IEEE Trans. on Multimedia, under revision.

[2] Margaret H. Pinson, “The Consumer Digital Video Library [Best of the Web],” IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 172,174, July 2013 doi: 10.1109/MSP.2013.2258265

 

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