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Authors: F. Fregien 1 ; F. Galandi 1 ; M. Reimann 1 ; S. Pasewaldt 2 ; J. Döllner 1 and M. Trapp 1

Affiliations: 1 Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482 Potsdam, Germany ; 2 Digital Masterpieces GmbH, August-Bebel-Str. 26-53, 14482 Potsdam, Germany

Keyword(s): Image Stylization, Recommendation System, Microservice.

Abstract: More and more people are using images and videos as a communication tool. Often, such visual media is edited or stylized using software applications to become more visually attractive. The data that is produced by the editing process contains useful information on how users interact with the software and data yielding respective results. In this context, this paper presents a framework that facilitates data storage, data profiling, and data analysis of image-stylization operations, image descriptors, and equivalent usage data by means of a recommendation system. The presented concept is implemented prototypical and preliminary evaluated.

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Paper citation in several formats:
Fregien, F.; Galandi, F.; Reimann, M.; Pasewaldt, S.; Döllner, J. and Trapp, M. (2023). A Service-Based Preset Recommendation System for Image Stylization Applications. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - HUCAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 251-258. DOI: 10.5220/0011772800003417

@conference{hucapp23,
author={F. Fregien. and F. Galandi. and M. Reimann. and S. Pasewaldt. and J. Döllner. and M. Trapp.},
title={A Service-Based Preset Recommendation System for Image Stylization Applications},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - HUCAPP},
year={2023},
pages={251-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011772800003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - HUCAPP
TI - A Service-Based Preset Recommendation System for Image Stylization Applications
SN - 978-989-758-634-7
IS - 2184-4321
AU - Fregien, F.
AU - Galandi, F.
AU - Reimann, M.
AU - Pasewaldt, S.
AU - Döllner, J.
AU - Trapp, M.
PY - 2023
SP - 251
EP - 258
DO - 10.5220/0011772800003417
PB - SciTePress