Product placement and embedding marketing are recently used extensively for advertisement in today’s skip-ad generation. In this PhD project, we use computer vision and deep learning techniques to accurately perform product placement in multimedia videos. We intend to use convolutional neural networks for accurately detecting existing adverts in videos, tracking them across image frames, and replacing them with new advertisements for targeted audiences. The designed neural networks will be evaluated on available manually annotated data and synthetic datasets. Such developed techniques will have wide-ranging impacts on a variety of applications, including sports billboard marketing, retail fashion advertising, and amongst others.
What is funded
Each student who is admitted to this programme will receive a full scholarship to undertake a four-year structured PhD programme. This scholarship comprises full payment of university fees for four years and a tax-free stipend of €18,500 per annum for four years. In addition, a generous budget for conference travel, equipment, training, placement maintenance and publication costs is provided.
2.1 grade (or equivalent) in an undergraduate or postgraduate degree in computer science, maths, engineering or similar technical discipline. Other qualifications in disciplines related to listed PhD topics will also be considered.
Strong programming/technical ability.
Non-native English speakers require at least IELTS 6.5 (with at least 6 in all components) or equivalent English language test in the university in which you will be registering.
How to apply
Our D-REAL center will collect all the applications. For more information on how to apply, please visit here: https://d-real.ie/apply-to-d-real/ and here: https://d-real.ie/2022-d-real-phd-topics/
|Job Category||Teaching and scientific research, Doctorat|