Quality of multimedia experience meets machine intelligence

Zhou, Wei, Amirpour, Hadi, Hoßfeld, Tobias and Timmerer, Christian 2026. Quality of multimedia experience meets machine intelligence. ACM SIGMultimedia Records 18 (1) , 3. 10.1145/3811013.3811016

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Abstract

[Multimedia systems are evolving towards AI-driven, adaptive services, leading to a natural convergence of QoE and machine intelligence. In this context, machine intelligence can empower QoE through learning-based, context-aware, and semantic-driven modelling and optimization. At the same time, QoE can guide machine intelligence by providing a human-centred objective for AI system design and evaluation; see also [11]. Looking beyond human perception, toward agent-centric and hybrid QoE, future multimedia systems increasingly require unified experience objectives that support human-AI co-experience. QoMEX'26 in Cardiff stands as a major milestone highlighting the convergence of Quality of Multimedia Experience with Machine Intelligence. This column reflects on this evolution and outlines the key challenges ahead.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Computer Science & Informatics
Additional Information:	License information from Publisher: LICENSE 1: URL: https://www.acm.org/publications/policies/publication-rights-and-licensing-policy, Start Date: 2026-01-01
Publisher:	Association for Computing Machinery (ACM)
Last Modified:	11 Jun 2026 10:00
URI:	https://orca.cardiff.ac.uk/id/eprint/187524

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