Special Session: Computational Memorability of Imagery Call for Papers

Computational Memorability of Imagery

Special Session at CBMI 2023

20-22 September 2023

Orleans, France


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

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


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

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

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