The Computational Memorability of Iconic Images

Open Access
Authors
Publication date 2022
Host editors
  • F. Karsdorp
  • A. Lassche
  • K. Nielbo
Book title Proceedings of the Computational Humanities Research Conference 2022
Book subtitle Antwerp, Belgium, December 12-14, 2022
Series CEUR Workshop Proceedings
Event 2022 Computational Humanities Research Conference, CHR 2022
Pages (from-to) 55-71
Number of pages 17
Publisher Aachen: CEUR-WS
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

The perception of historic events is frequently shaped by specific images that have been ascribed an iconic status. These images are widely reproduced and recognised and can therefore be considered memorable. A question that arises given such images is whether the memorability of iconic images is intrinsic or whether it is shaped. In this work we analyse the memorability of iconic images by means of computational techniques that are specifically designed to measure the intrinsic memorability of images. To judge whether iconic images are inherently more memorable we establish two baselines based on datasets of diverse imagery and of newspaper imagery. Our findings show that iconic images are not more memorable than modern day newspaper imagery or when compared to a diverse set of everyday images. In fact, by and large many of the iconic images analysed score on the low end of the memorability spectrum. Additionally, we explore the variation in memorability of reproductions of iconic images and find that certain images have been edited resulting in higher memorability scores, but that the images by and large are reproduced with memorability close to the original.

Document type Conference contribution
Language English
Published at https://ceur-ws.org/Vol-3290/long_paper6539.pdf
Other links https://ceur-ws.org/Vol-3290/ https://www.scopus.com/pages/publications/85143831261
Downloads
long_paper6539 (Final published version)
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