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https://ceur-ws.org/Vol-3766/CVCS2024_Preface.pdf
Colour and Visual Computing Symposium 2024 (CVCS 2024)
The Colourlab at the Norwegian University of Science and Technology (NTNU), Norway has
organised the Colour and Visual Computing Symposium 2024 (CVCS 2024), which this year
is taking place in Gjøvik, on September 5-6, 2024. Born in 2003 as the Gjøvik Colour
Imaging Symposium (GCIS), the Colour and Visual Computing Symposium (CVCS) has
attracted a growing number of participants and provided a platform for fruitful discussion
and exploration of recent advances in the field of colour and visual computing.
These proceedings have been submitted for open-access publishing as a CEUR Workshop
Proceedings volume, currently indexed by Google Scholar, DBLP, and Scopus. The CVCS
2024 symposium contains a rich programme including keynotes, and contributions by
young researchers and well-known international experts in topics including colour
imaging, appearance, vision, spectral imaging, visual computing, and medical imaging.
The CVCS 2024 Programme Committee received 22 submissions. All full papers went
through a blind review process and each paper has been reviewed by three reviewers. The
paper selection criteria were methodology used and scientific quality in terms of novelty
and originality. Finally, 12 high-quality papers of scientific content were selected and
presented at the symposium. Four keynote speakers contributed to the success of the
event: Professor Theo Gevers, from the University of Amsterdam who is the director of the
Computer Vision Lab and co-director of the Atlas Lab (UvA-TomTom) and Delta Lab (UvA-
Bosch) in Amsterdam. Professor Ghassan AlRegib the John and Marilu McCarty Chair
Professor in the School of Electrical and Computer Engineering at the Georgia Institute of
Technology and the director of the Centre for Signal and Information Processing (CSIP). Dr.
Sira Ferradans the AI director at DXOMARK. And, Dr. Charles Poynton imaging and colour
scientist working on video/HD/UHD/4K/HDR/HDR/D‑cinema.
Keynote: Professor Theo Gevers
Title: Coloring (generative) AI
Keynote: Professor Ghassan AlRegib
Title: Visual Explanations in AI
Visual explanations have traditionally acted as rationales used to justify the decisions made
by machine learning systems. With the advent of large-scale neural networks, the role of
visual explanations has been to shed interpretability on opaque models. We view this role as
the process for the network to answer the question `Why P?’, where P is a trained network’s
prediction. Recently however, with increasingly capable models, the role of explainability has
expanded. Neural networks are asked to justify `What if?’ counterfactual and `Why P, rather
than Q?’ contrastive question modalities that the network did not explicitly train to answer.
This allows explanations to act as reasons to make further prediction. The talk provides a
principled and rational overview of Explainability within machine learning and justifies them
as reasons to make decisions. Such a reasoning framework allows for robust machine
learning as well as trustworthy AI to be accepted in everyday lives. Applications like robust
recognition, image quality assessment, visual saliency, anomaly detection, out-of-
CEUR
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segmentation, introspection, and machine teaching among others will be briefly discussed.
Keynote: Dr Sira Ferradans
Title: Studying user preferences for diverse skin tone portrait quality rendition
Portraits are the most common use case for smartphone photography, however, producing
a realistic and pleasant skin tone in real scenarios is still challenging for all manufacturers,
especially in common conditions such as night or low light scenes. However, producing non-
homogeneous quality rendition across skin tones has become a sensitive issue, and its
evaluation is crucial for the industry. In the scientific literature, we find mostly studies that
evaluate synthetic modifications of laboratory portraits. In this talk, we will show the
challenges of systematically evaluating diverse skin tones in the lab using realistic
mannequins. However, we will also show that real setups are much more complex to
evaluate, and user preferences depend on many factors.
We will go through the conclusions obtained during DXOMARK’s last user studies, where we
examine the performance of high-end smart-phone cameras in common every-day use
cases. This study shows that around 20% of portraits are currently discarded due to quality
problems, implying that contemporary smartphone cameras are far from solving the skin
tone rendition problem.
These challenges are mostly because there is no clear target definition of user preferences
regarding color skin tone rendering. The definition of this target could path the way to
automatizing skin tone rendition evaluation with Machine Learning.
Keynote: Dr Charles Poynton
Title: Technological Natural Selection in Imaging Standards
Video signal decoding by a CRT’s inherent power function (“gamma”) very nearly inverts the
perceptual uniformity of CIE L*. I used to consider this to be an amazing coincidence. In
about 1992, I was chatting to Mike Schuster (of Adobe) about CRT gamma, and I
commented to him about what I saw as the fluke by which halftone dot gain in printing also
has nonlinear behaviour favourable to perception. Michael told me that he had thought
about that for a long time. He said that he had reached the conclusion that it was a kind of
technological natural selection – if not for optical dot gain, 8-bit CMYK halftoning would
have failed, and some other scheme would have eventually been found.
In this talk, I’ll describe several situations in digital colour imaging where suitable – even
near-optimum – solutions to problems were found by processes involving mutation and
selection pressure, rather than by explicit engineering. There are lessons for imaging system
design.
The members of the programme committee are:
⎯ Seyed Ali Amirshahi – General Chair
⎯ Steven le Moan – General Chair
⎯ Giuseppe Claudio Guarnera – Programme Chair
⎯ Aditya Suneel Sole – Programme Chair
⎯ Davit Gigilashvili – Publication Chair
⎯ Dar’ya Guarnera – Publication Chair
⎯ Giorgio Trumpy – Student Session Chair
⎯ Jon Yngve Hardeberg – Publicity and Sponsorship Chair
⎯ Peter Nussbaum – Publicity and Sponsorship Chair
⎯ Anneli Torsdbakken Østlien – Aministrative chair
⎯ Cathrine Øverberg Larsen - Administrative chair
We express sincere gratitude to all the experts from the scientific committee for
participating in the paper review process. Additional thanks go to Chunhong Luo for her
assistance with accounting matters. We are pleased to acknowledge the financial support
of Research Council of Norway and the Norwegian University of Science and Technology
as well as our other sponsors.
Colour and Visual Computing Symposium 2024.