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Authors: Silvia Corchs ; Gianluigi Ciocca and Francesca Gasparini

Affiliation: Department of Informatics, Systems and Comunication, University of Milano Bicocca, Milano 20126 and Italy

Keyword(s): Image Quality Assessment, No Reference Metrics, Affective Content, JPEG-distortion.

Related Ontology Subjects/Areas/Topics: Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Perceptual/Human Audiovisual System Modeling ; Telecommunications

Abstract: In this work we investigate if the affective content of images influences the perception of image quality. Two database are generated and psychophysical experiments are conducted, where participants rate the stimuli in a five point Likert scale. We have fixed the semantic content, choosing only close-ups of face images, two emotion categories (happy and sad images) and JPEG-distortion. Also the influence of the background is considered. From the analysis of the subjective data we observe that the influence of affective content is more evident for images of very high or very low quality. The subjective scores are further used as ground-truth labels to train a five quality-class classifier. Two different feature spaces are used (visual features and quality metrics) to train a SVM classifier.

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Paper citation in several formats:
Corchs, S.; Ciocca, G. and Gasparini, F. (2018). Quality Assessment of JPEG-distorted Face Images: Influence of Affective Content. In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - ICETE; ISBN 978-989-758-319-3; ISSN 2184-3236, SciTePress, pages 386-393. DOI: 10.5220/0006853405520559

@conference{icete18,
author={Silvia Corchs. and Gianluigi Ciocca. and Francesca Gasparini.},
title={Quality Assessment of JPEG-distorted Face Images: Influence of Affective Content},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - ICETE},
year={2018},
pages={386-393},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006853405520559},
isbn={978-989-758-319-3},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - ICETE
TI - Quality Assessment of JPEG-distorted Face Images: Influence of Affective Content
SN - 978-989-758-319-3
IS - 2184-3236
AU - Corchs, S.
AU - Ciocca, G.
AU - Gasparini, F.
PY - 2018
SP - 386
EP - 393
DO - 10.5220/0006853405520559
PB - SciTePress

- Science and Technology Publications, Lda.
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