Smeaton, Alan F. ORCID: 0000-0003-1028-8389, Corrigan, Owen ORCID: 0000-0002-1840-982X, Dockree, Paul, Gurrin, Cathal ORCID: 0000-0003-2903-3968, Healy, Graham ORCID: 0000-0001-6429-6339, Hu, Feiyan ORCID: 0000-0001-7451-6438, McGuinness, Kevin ORCID: 0000-0003-1336-6477, Mohedano, Eva and Ward, Tomás E. ORCID: 0000-0002-6173-6607 (2018) Dublin's participation in the predicting media memorability task at MediaEval 2018. In: MediaEval Benchmarking Initiative for Multimedia Evaluation, 29-31 Oct 2018, Nice, France.
Abstract
This paper outlines 6 approaches taken to computing video memorability, for the MediaEval media memorability task. The approaches are based on video features, an end-to-end approach, saliency, aesthetics, neural feedback, and an ensemble of all approaches.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | No |
Subjects: | Computer Science > Image processing Computer Science > Digital video |
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 Research Initiatives and Centres > ADAPT |
Published in: | Larson, Martha, Arora, Piyush, Demarty, Claire-Hélène, Riegler, Michael, Bischke, Benjamin, Dellandrea, Emmanuel, Lux, Mathias, Porter, Alastair and Jones, Gareth J.F., (eds.) Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR-WS Proceedings . CEUR-WS. |
Publisher: | CEUR-WS |
Official URL: | http://ceur-ws.org/Vol-2283/MediaEval_18_paper_14.... |
Copyright Information: | © 2018 The Authors |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | This work was partially supported by Science Foundation Ireland under the SFI Research Centres Programme grant number SFI/12/RC/2289. |
ID Code: | 22737 |
Deposited On: | 18 Oct 2018 09:27 by Owen Corrigan . Last Modified 13 Mar 2019 13:53 |
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