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Machine learning of where people look in videos


Yanzhi Yao

14/05/2021

Supervised by Hantao Liu; Moderated by Dr Daniel J. Finnegan

Do you know where you are looking at while watching online videos? Do you know where the computers think you are looking at? Modelling visual saliency - predicting where human eyes pay attention to in visual content - has been a very active research area over the past few years in both academia and industry. This project aims to analyse visual attention data in emerging applications in image and vision computing, such as computer rendered images, high-dynamic-range (HDR) imaging, medical imaging, and mobile.


Initial Plan (08/02/2021) [Zip Archive]

Final Report (14/05/2021) [Zip Archive]

Publication Form