Detail of the student project

Topic:Visual image retrieval and geolocalization
Department:Katedra kybernetiky
Supervisor:Georgios Tolias, Ph.D.
Announce as:Diplomová práce, Bakalářská práce, Semestrální projekt
Description:Given a large collection of geo-tagged images, e.g. street-view images, the goal is to build an image-based localization system which will predict the location at which outdoor images are taken. The task will be handled as image retrieval where a large collection of images needs to be indexed. Deep learning models will be used for the visual representation of images. Location estimation is provided with kernel density estimation according to the top-ranked geo-tagged images. The project focuses on improvements of the location estimation
Bibliography:Vo Jacobs Hays, ICCV 2017, Revisiting IM2GPS in the Deep Learning Era
Radenovic Tolias Chum, PAMI 2019, Fine-tuning CNN Image Retrieval with No Human Annotation
Responsible person: Petr Pošík