A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling

Aaron Zhang; Alex Mackin; David Bull

doi:10.1109/ICIP.2017.8296291

A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling

Aaron Zhang, Alex Mackin, David Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

24 Citations (Scopus)

507 Downloads (Pure)

Abstract

This paper presents an objective quality metric (FRQM), which characterises the relationship between variations in frame rate and perceptual video quality. The proposed method estimates the relative quality of a low frame rate video with respect to its higher frame rate counterpart, through temporal wavelet ecomposition, subband combination and spatiotemporal pooling. FRQM was tested alongside six commonly used quality metrics (two of which explicitly relate frame rate variation to perceptual quality), on the publicly available BVI-HFR video database, that spans a diverse range of scenes and frame rates, up to 120fps. Results show that FRQM offers significant improvement over all other tested quality assessment methods with relatively low complexity.

Original language	English
Title of host publication	2017 IEEE International Conference on Image Processing (ICIP 2017)
Subtitle of host publication	Proceedings of a meeting held 17-20 September 2017, Beijing, China
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	300-304
Number of pages	5
ISBN (Electronic)	9781509021758
ISBN (Print)	9781509021765
DOIs	https://doi.org/10.1109/ICIP.2017.8296291
Publication status	Published - Apr 2018

Publication series

Name
ISSN (Print)	2381-8549

Keywords

Frame rate
Perceptual quality
Video quality assessment
Frame rate dependent quality metric
FRQM

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10.1109/ICIP.2017.8296291

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Zhang, A., Mackin, A., & Bull, D. (2018). A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling. In 2017 IEEE International Conference on Image Processing (ICIP 2017): Proceedings of a meeting held 17-20 September 2017, Beijing, China (pp. 300-304). Article MP.L2.3 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2017.8296291

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Zhang, A, Mackin, A & Bull, D 2018, A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling. in 2017 IEEE International Conference on Image Processing (ICIP 2017): Proceedings of a meeting held 17-20 September 2017, Beijing, China., MP.L2.3, Institute of Electrical and Electronics Engineers (IEEE), pp. 300-304. https://doi.org/10.1109/ICIP.2017.8296291

A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling. / Zhang, Aaron; Mackin, Alex; Bull, David.
2017 IEEE International Conference on Image Processing (ICIP 2017): Proceedings of a meeting held 17-20 September 2017, Beijing, China. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 300-304 MP.L2.3.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling

AU - Zhang, Aaron

AU - Mackin, Alex

AU - Bull, David

PY - 2018/4

Y1 - 2018/4

N2 - This paper presents an objective quality metric (FRQM), which characterises the relationship between variations in frame rate and perceptual video quality. The proposed method estimates the relative quality of a low frame rate video with respect to its higher frame rate counterpart, through temporal wavelet ecomposition, subband combination and spatiotemporal pooling. FRQM was tested alongside six commonly used quality metrics (two of which explicitly relate frame rate variation to perceptual quality), on the publicly available BVI-HFR video database, that spans a diverse range of scenes and frame rates, up to 120fps. Results show that FRQM offers significant improvement over all other tested quality assessment methods with relatively low complexity.

AB - This paper presents an objective quality metric (FRQM), which characterises the relationship between variations in frame rate and perceptual video quality. The proposed method estimates the relative quality of a low frame rate video with respect to its higher frame rate counterpart, through temporal wavelet ecomposition, subband combination and spatiotemporal pooling. FRQM was tested alongside six commonly used quality metrics (two of which explicitly relate frame rate variation to perceptual quality), on the publicly available BVI-HFR video database, that spans a diverse range of scenes and frame rates, up to 120fps. Results show that FRQM offers significant improvement over all other tested quality assessment methods with relatively low complexity.

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KW - Video quality assessment

KW - Frame rate dependent quality metric

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DO - 10.1109/ICIP.2017.8296291

M3 - Conference Contribution (Conference Proceeding)

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BT - 2017 IEEE International Conference on Image Processing (ICIP 2017)

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Zhang A, Mackin A, Bull D. A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling. In 2017 IEEE International Conference on Image Processing (ICIP 2017): Proceedings of a meeting held 17-20 September 2017, Beijing, China. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 300-304. MP.L2.3 Epub 2018 Feb 22. doi: 10.1109/ICIP.2017.8296291

A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling

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