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Zitationsvorschlag

Burghardt, Manuel et al.: Computational Tools and Methods for Film and Video Analysis, in Nunn, Christopher A. und van Oorschot, Frederike (Hrsg.): Compendium Computational Theology, Bd. 1: Introducing Digital Humanities to Theology, Heidelberg: heiBOOKS, 2024, S. 147–173. https://doi.org/10.11588/heibooks.1521.c21945
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Compendium Computational Theology

Lizenz (Kapitel)

Creative Commons License

Dieses Werk steht unter der Lizenz Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International.

Identifier (Buch)

https://doi.org/10.11588/heibooks.1521
ISBN 978-3-911056-19-9 (PDF)

Veröffentlicht

19.12.2024

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Statistik

Autor/innen

Manuel Burghardt , John Bateman , Eric Müller-Budack , Ralph Ewerth

Computational Tools and Methods for Film and Video Analysis

Abstract In this chapter, we provide an overview of computational tools and methods for film and video analysis. After introducing the evolution of methods in this field, we go on to lay some theoretical foundations for empirical video analyses. As we focus on using state of the art deep learning methods, we also provide an overview of the types of information that can already be extracted with these methods. Furthermore, we introduce an easy-to-use tool for video analytics, called TIB AV-Analytics (TIB AV-A). We demonstrate how TIB AV-A can be utilised to support the exploration of narrative patterns in the popular TV series Game of Thrones. Finally, we conclude by summarising the current state of available tools and methods for computational video analysis and outline some challenges that lie ahead.

Keywords computation film analysis, computational video analysis, distant viewing