Multimedia Analytics in Virtual Spaces (PhD Thesis, ongoing)
Multimedia data, such as images, videos, and 3D models, are recorded and collected at ever increasing speed. These collections can take many forms, such as private collections of vacation photographs, or digitizations of archival cultural heritage collecctions. Due to the increasing size of these collections, it becomes increasingly difficult to make their content accessible in a way that allows users to discover their contents and to find the information they are looking for.
In this thesis, we aim to develop methods to give access to such collections through virtual reality (VR) interfaces. By leveraging the advantages, and overcoming the challenges of VR interfaces, we aim to develop a VR multimedia analytics system that is both effective and useable.
We implement and evaluate our approaches through the VR multimedia analytics system prototype vitrivr-VR.
Staff
Start Date
2020-08-01