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A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words?
Siddhant Jaydeep Mahajani, Shashank Srivastava, Alan F. Smeaton
Lexicon-based approaches to sentiment analysis of text are based on each word or lexical entry having a pre-defined weight indicating its sentiment polarity. These are usually manu…
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach
Ayush K. Rai, Tarun Krishna, Feiyan Hu +4
Video Anomaly Detection (VAD) is an open-set recognition task, which is usually formulated as a one-class classification (OCC) problem, where training data is comprised of videos w…
Heart Rate Detection Using an Event Camera
Aniket Jagtap, RamaKrishna Venkatesh Saripalli, Joe Lemley +2
Event cameras, also known as neuromorphic cameras, are an emerging technology that offer advantages over traditional shutter and frame-based cameras, including high temporal resolu…
Using Saliency and Cropping to Improve Video Memorability
Vaibhav Mudgal, Qingyang Wang, Lorin Sweeney +1
Video memorability is a measure of how likely a particular video is to be remembered by a viewer when that viewer has no emotional connection with the video content. It is an impor…
Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset
Iya Chivileva, Philip Lynch, Tomas E. Ward +1
Evaluating the quality of videos generated from text-to-video (T2V) models is important if they are to produce plausible outputs that convince a viewer of their authenticity. We ex…
Memories in the Making: Predicting Video Memorability with Encoding Phase EEG
Lorin Sweeney, Graham Healy, Alan F. Smeaton
In a world of ephemeral moments, our brain diligently sieves through a cascade of experiences, like a skilled gold prospector searching for precious nuggets amidst the river's rele…