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Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?
Alba García Seco De Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain +5
This paper describes the MediaEval 2020 \textit{Predicting Media Memorability} task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its…
Investigating Memorability of Dynamic Media
Phuc H. Le-Khac, Ayush K. Rai, Graham Healy +2
The Predicting Media Memorability task in MediaEval'20 has some challenging aspects compared to previous years. In this paper we identify the high-dynamic content in videos and dat…
Leveraging Audio Gestalt to Predict Media Memorability
Lorin Sweeney, Graham Healy, Alan F. Smeaton
Memorability determines what evanesces into emptiness, and what worms its way into the deepest furrows of our minds. It is the key to curating more meaningful media content as we w…
Attention and misinformation sharing on social media
Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton
The behaviour of sharing information on social media should be fulfilled only when a user is exhibiting attentive behaviour. So that the useful information can be consumed construc…
Using GANs to Synthesise Minimum Training Data for Deepfake Generation
Simranjeet Singh, Rajneesh Sharma, Alan F. Smeaton
There are many applications of Generative Adversarial Networks (GANs) in fields like computer vision, natural language processing, speech synthesis, and more. Undoubtedly the most…
Contrastive Representation Learning: A Framework and Review
Phuc H. Le-Khac, Graham Healy, Alan F. Smeaton
Contrastive Learning has recently received interest due to its success in self-supervised representation learning in the computer vision domain. However, the origins of Contrastive…