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
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.
Metadata
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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