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  Introduction to Immersive Video Technologies 

  Alain, Martin; Zerman, Emin (Elsevier, 2022)

  Immersive imaging technologies have become a topic of great interest in recent years due to the convergence of maturing research from different fields and broad aspects of signal and image processing, including but not ...
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  Subjective and Objective Quality Assessment for Volumetric Video 

  Zermin, Emin; Smolic, Aljosa (Elsevier, 2022)

  Volumetric video (VV) is a novel formof video that allows recreation of real-world scenes in 3D with users consuming the content from any viewpoint they desire. This makes VV best suited for augmented reality (AR) or ...
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  Integrating Connected UAVs into Future Mobile Networks 

  Fonseca, Erika Guimaraes (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)

  With the increasing number of Unmanned Aerial Vehicles (UAVs) and their applications, such as performing search and rescue or transplant organ delivery, the need for improving the UAV connectivity grows. Currently, User ...
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  Modelling Light Field Visual Attention: A Saliency Field Approach 

  Gill, Ailbhe (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)

  Light field imaging is becoming more accessible, hence understanding how people perceive and interact with it will be of immense value. Although visual attention has been explored for traditional 2D images, we extend this ...
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  Towards A Rare Disease Registry Standard: Semantic Mapping of Common Data Elements Between FAIRVASC and the European Joint Programme for Rare Disease 

  Yaman, Beyza; Hederman, Lucy; O'Sullivan, Declan; Little, Mark; McGlinn, Kris (2022)

  This paper describes the extension of the FAIRVASC rare disease ontology, with Joint Research Council Common Data Elements (CDE), and mapping to the European Joint Programme on Rare Dis- eases (EJP RD) CDE ontology. We ...

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