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2019 | OriginalPaper | Chapter

11. 3D Visual Content Datasets

Authors : Karel Fliegel, Federica Battisti, Marco Carli, Margrit Gelautz, Lukáš Krasula, Patrick Le Callet, Vladimir Zlokolica

Published in: 3D Visual Content Creation, Coding and Delivery

Publisher: Springer International Publishing

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Abstract

Development and performance evaluation of efficient methods for coding, transmission, and quality assessment of 3D visual content require rich datasets of a suitable test material. The use of these databases allows a fair comparison of systems under test. Moreover, publicly available and widely used datasets are crucial for experimentation leading to reproducible research. This chapter presents an overview of 3D visual content datasets relevant to research in the field of coding, transmission, and quality assessment. Description of regular stereoscopic or multiview image and video datasets is presented. Databases created using emerging technologies, including light-field imaging, are also addressed. Moreover, there are databases of multimedia content annotated with ratings from the subjective experiment, which are a necessary resource for understanding the complex problem of quality of experience while consuming the 3D visual content.

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Title: 3D Visual Content Datasets
Authors: Karel Fliegel
Federica Battisti
Marco Carli
Margrit Gelautz
Lukáš Krasula
Patrick Le Callet
Vladimir Zlokolica
Publisher: Springer International Publishing
Book: 3D Visual Content Creation, Coding and Delivery
Print ISBN: 978-3-319-77841-9

Electronic ISBN: 978-3-319-77842-6

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-319-77842-6_11

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