855 citations · 958 across the 34 of their papers we have counts for
7 papers · 1 filter
Usage-based Summaries of Learning Videos
Hyowon Lee, Mingming Liu, Michael Scriney +1
Much of the delivery of University education is now by synchronous or asynchronous video. For students, one of the challenges is managing the sheer volume of such video material as…
The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System
Lorin Sweeney, Graham Healy, Alan F. Smeaton
Memories are the tethering threads that tie us to the world, and memorability is the measure of their tensile strength. The threads of memory are spun from fibres of many modalitie…
Attention Based Video Summaries of Live Online Zoom Classes
Hyowon Lee, Mingming Liu, Hamza Riaz +3
This paper describes a system developed to help University students get more from their online lectures, tutorials, laboratory and other live sessions. We do this by logging their…
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…