Connectionists: CFP-Computational Memorability of Imagery at CBMI 2023

[Alba García]

*Computational Memorability of Imagery*

Special Session at CBMI 2023

20-22 September 2023

Orleans, France

https://cbmi2023.org

The subject of memorability has seen an influx in interest since the
likelihood of images being recognised upon subsequent viewing was found to
be consistent across individuals. Driven primarily by the MediaEval Media
Memorability tasks which has just completed its 5th annual iteration,
recent research has extended beyond static images, pivoting to the more
dynamic and multi-modal medium of video memorability.

The memorability of a video or an image is an abstract concept and like
other features such as aesthetics and beauty, is an intrinsic feature of
imagery. There are many applications for predicting image and video
memorability including marketing where some part of a video advertisement
should strive to be the most memorable, in education where key parts of
educational content should be memorable, in other areas of content creation
such as video summaries of longer events like movies or wedding
photography, and in cinematography where a director may want to make some
parts of a movie or TV program more, or less, memorable than the rest.

For computing video memorability, researchers have used a variety of
approaches including video vision transformers as well as more conventional
machine learning, text features from text captions, a range of ensemble
approaches, and even generating surrogate videos using stable diffusion
methods. The performance of these approaches tells us that we are now close
to the best performance for memorability prediction for video and for
images that we could get using current techniques and that there are many
research groups who can achieve such a level of performance.

We believe that image and video memorability is now ready for the spotlight
and for researchers to be drawn to using video memorability prediction in
creative ways. We invite submissions from researchers who wish to extend
their reported techniques and/or apply those techniques to real-world
applications like marketing, education, or other areas of content
production. We hope that the output from this special session will be a
community-wide realization of the potential for video memorability
prediction and uptake in research into, and applications of, the topic.

The topics of the special session include, but are not limited to:

   -

   Development and interpretation of single- or multi-modal models for
   Computational Memorability
   -

   Transfer learning and transferability for Computational Memorability
   -

   Computational Memorability applications
   -

   Extending work from MediaEval Predicting Media Memorability task
   -

   Cross- and multilingual aspects in Computational Memorability
   -

   Evaluation and resources for Computational Memorability
   -

   Computational memorability prediction based on physiological data (e.g.:
   EEG data)

The contributions to this special session are regular short papers (only)
as 4 pages, plus additional pages for the list of references. The review
process is single-blind meaning authors do not have to anonymise their
submissions.

*Important dates*

Paper submission: April 12, 2023

Notification of acceptance: June 1, 2023

Camera ready paper: June 15, 2023

Conference dates: September 20-22, 2023

*Organisers*


   -

   Alba García Seco de Herrera, University of Essex (alba.garcia at essex.ac.uk
   )
   -

   Gabi Constantin, University Politehnica of Bucharest (
   mihai.constantin84 at upb.ro)
   -

   Alan Smeaton, Dublin City University (alan.smeaton at dcu.ie)
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