Aug. 9, 2022, 1:12 a.m. | Sean Cummins, Lorin Sweeney, Alan F. Smeaton

cs.CV updates on arXiv.org arxiv.org

We investigate the memorability of a 5-season span of a popular crime-drama
TV series, CSI, through the application of a vision transformer fine-tuned on
the task of predicting video memorability. By investigating the popular genre
of crime-drama TV through the use of a detailed annotated corpus combined with
video memorability scores, we show how to extrapolate meaning from the
memorability scores generated on video shots. We perform a quantitative
analysis to relate video shot memorability to a variety of aspects …

arxiv crime cv drama series tv

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Robotics Technician - 3rd Shift

@ GXO Logistics | Perris, CA, US, 92571