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Challenges associated with generative forms of multimedia content (keynote talk)

Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2019) Challenges associated with generative forms of multimedia content (keynote talk). In: Content Based Multimedia Information 2019, 4-6 Sept 2019, Dublin, Ireland. ISBN 978-1-7281-4673-7

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Abstract

This short paper presents what is currently the main challenge associated with using Generative Adversarial Networks (GANs) to generate visual media. That challenge is around automatically determining the authenticity of an image/video, which is of increasing importance as fake videos and images start to proliferate on social media, especially when associated with political campaigning. The paper introduces GANs, outlines how they are used to generate visual media and summarises this major challenge.

Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Conference
Refereed:No
Uncontrolled Keywords:GANs; Generative Adversarial Networks; Video, Image
Subjects:Computer Science > Artificial intelligence
Computer Science > Machine learning
Computer Science > Multimedia systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of Content Based Multimedia Information (CBMI 2019). . IEEE. ISBN 978-1-7281-4673-7
Publisher:IEEE
Official URL:http://cbmi2019.org/
Copyright Information:© 2019 The Author
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Part-funded by Science Foundation Ireland under grant number SFI/12/RC/2289 (Insight Centre)
ID Code:23775
Deposited On:25 Sep 2019 10:30 by Alan Smeaton . Last Modified 13 Dec 2019 10:34

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