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Analysing the memorability of a procedural crime-drama TV series, CSI

Cummins, Seán, Sweeney, Lorin orcid logoORCID: 0000-0002-3427-1250 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2022) Analysing the memorability of a procedural crime-drama TV series, CSI. In: 19th International Conference on Content-based Multimedia Indexing, CBMI 2022, September 14–16, 2022, Graz, Austria. ISBN 978-1-4503-9720-9

Abstract
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 of the show. The insights we present in this paper illustrate the importance of video memorability in applications which use multimedia in areas like education, marketing, indexing, as well as in the case here namely TV and film production.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Video memorability; vision transformers; CSI TV series
Subjects:Computer Science > Artificial intelligence
Computer Science > Machine learning
Computer Science > Digital video
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Publisher:Association for Computing Machinery (ACM)
Official URL:https://doi.org/10.1145/3549555.3549592
Copyright Information:© 2022 The Authors
Funders:Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/ 2289_P2 (Insight SFI Research Centre for Data Analytics).
ID Code:27499
Deposited On:12 Sep 2022 11:59 by Alan Smeaton . Last Modified 12 Sep 2022 11:59
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