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Authors: Maria Mele 1 ; Damon Millar 2 and Christiaan Rijnders 2

Affiliations: 1 COGISEN Engineering Company, Rome, Italy, Department of Philosophy, Social and Human Sciences and Education, University of Perugia, Perugia, Italy, ECONA, Interuniversity Centre for Research on Cognitive Processing in Natural and Artificial Systems, Sapienza University of Rome, Rome and Italy ; 2 COGISEN Engineering Company, Rome and Italy

ISBN: 978-989-758-354-4

Keyword(s): Video Quality Assessment, Single Stimulus Assessment Methods, Psychophysiological Assessment of User Experience, UX.

Abstract: This work investigates the relation between subjective Video Quality Assessment (VQA) metrics and psychophysiological measures of human interaction assessment such as gaze tracking, electroencephalography and facial expression recognition. Subjective quality assessment is based on deliberate judgement attributions of perceived quality and processes that human perceivers are not consciously aware of. Traditional VQA methods ask participants to deliberately assign a quality score to videos in terms of the perceptual video quality. A methodology combining psychophysiological measures with traditional VQA methods is rarely used in the literature. This paper describes a model of video quality assessment which takes into account both explicit and implicit measures of subjective quality, by addressing two questions: (1) Do traditional video quality assessment methods correlate with unaware/implicit psychophysiological measures of quality perception assessment? (2) What can the main psychophy siological methods add to traditional video quality assessment? Findings show that (1) psychophysiological measures are able to measure differences of perceptual quality in compressed videos in terms of number of fixations and that (2) both VQA methods and psychophysiological assessment methods combined are able to provide additional information about cognitive and affective processes of attribution of the affective factors that underlie the attribution of quality. (More)

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Paper citation in several formats:
Mele, M.; Millar, D. and Rijnders, C. (2019). Explicit and Implicit Measures in Video Quality Assessment.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: HUCAPP, ISBN 978-989-758-354-4, pages 38-49. DOI: 10.5220/0007396100380049

@conference{hucapp19,
author={Mele, M. and Damon Millar. and Christiaan Erik Rijnders.},
title={ Explicit and Implicit Measures in Video Quality Assessment},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: HUCAPP,},
year={2019},
pages={38-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007396100380049},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: HUCAPP,
TI - Explicit and Implicit Measures in Video Quality Assessment
SN - 978-989-758-354-4
AU - Mele, M.
AU - Millar, D.
AU - Rijnders, C.
PY - 2019
SP - 38
EP - 49
DO - 10.5220/0007396100380049

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