[visionlist] SAVE THE DATE: EURASIP JIVP Webinar “ColorVideoVDP - how low-level human vision models help to design better quality metrics” (9 January 2025)

[Giuseppe Valenzise]

(Apologies if you receive multiple copies of this message)

Best wishes for the New Year 2025!

Our next 1-hour webinar will take place Thursday, 9 January at 14:00 CET with Prof. Rafal Mantiuk (University of Cambridge, UK).

RSVP link to join: https://cassyni.com/events/UsmBLBR4x6V8CCjxZk8ju7/abstract?cb=functi

Title: ColorVideoVDP - how low-level human vision models help to design better quality metrics

Abstract: The dominant image and video quality metrics rarely consider the physical specification of video content (luminance, frame rate, resolution) or incorporate models of human vision. In this talk, I will show how a robust video quality metric can be built from fundamental models of low-level human vision and how such a metric can generalize to any display specification (size, resolution, dynamic range) and viewing conditions (ambient light, viewing distance). I will explain how we built a model of contrast sensitivity for achromatic and chromatic spatiotemporal patterns (castleCSF) and combined it with a contrast masking model to create our new video quality metric - ColorVideoVDP. ColorVideoVDP brings many advantages, such as explainability, robustness to unseen distortions, differentiable formulation, and the ability to adapt to the physical characteristics of the content (frame rate, HDR/SDR colour spaces).

Bio: Rafał K. Mantiuk is a Professor of Graphics and Displays at the Department of Computer Science and Technology, University of Cambridge (UK). He received Ph.D. from the Max-Planck Institute for Computer Science (Germany). His recent interests focus on computational displays, rendering and imaging algorithms that adapt to human visual performance and deliver the best image quality given limited resources, such as computation time or bandwidth. He contributed to early work on high dynamic range imaging, including quality metrics (HDR-VDP), video compression and tone-mapping. More recently, he led an ERC-funded project on the capture and display system that passed the visual Turing test - 3D objects were reproduced with fidelity that made them undistinguishable from their real counterparts.

We look forward to seeing you at this webinar.


—
__________________________________________
Dr. Giuseppe Valenzise
CNRS Researcher
Laboratoire des Signaux et Systèmes (L2S, UMR 8506)
CNRS - CentraleSupelec - Université Paris-Saclay
3, rue Joliot Curie
91192 Gif-sur-Yvette Cedex, France
https://l2s.centralesupelec.fr/u/valenzise-giuseppe/

Chair of the IEEE SPS Multimedia Signal Processing Technical Committee (MMSP TC) <https://signalprocessingsociety.org/community-involvement/multimedia-signal-processing/mmsp-tc-home>

Editor in Chief EURASIP Journal on Image and Video Processing <https://jivp-eurasipjournals.springeropen.com/>




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“Immersive Video Technologies”
https://www.elsevier.com/books/immersive-video-technologies/valenzise/978-0-323-91755-1


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