Abstract
As an instance of dynamic content layout in the context of object-based TV broadcasting, graphic insertions within football match replays are presented and discussed. It is offered that an AI system may be an efficient solution to counter occlusion of content. For such a system, aspirational targets are presented, followed by descriptions of an experiment purposed to gather data as to how viewers may experience graphical insertions into football goal replays in comparison to the typically normal football goal replays where no such graphical insertions are made. The experiment takes the form of eye tracking of viewers’ visual interactions and subsequent analysis to better understand fixations on and off inserted graphics. A series of metrics is derived, discussed, and the results of which are presented as to how well the experiment may relate to aspirational targets and by how much they may be met at present, as well as potential future experiments based on the current findings.
Research work supported by Ulster University, British Telecom, and Invest NI.
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Milliken, M., Kharechko, A., Kegel, I., Allan, B., Zhang, S., McClean, S. (2024). Eye Gaze Analysis Towards an AI System for Dynamic Content Layout. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023. Lecture Notes in Computer Science, vol 14365. Springer, Cham. https://doi.org/10.1007/978-3-031-51023-6_13
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