Natural dynamic scene processing in the human brain (B03 (ehem. 09))

• Subject Area: Cognitive, Systems and Behavioural Neurobiology ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Molecular and Cellular Neurology and Neuropathology
• Term: since 2017
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 276693517

This project will provide insights on the role of high-level and low-level scene content on the interpretation of behaviourally relevant features such as scene depth and motion velocity in terms of real-world coordinates, and on the robustness of these representations with regards to low-level feature manipulations. The project will also shed light onto saliency in natural dynamic scenes. To which extent is saliency driven by low- or high-level visual content, which neural representations reflect low-level and high-level components of saliency, and which biological processing stages share similarities with saliency representations of artificial neural networks.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1233: Robust Vision - Inference Principles and Neural Mechanisms
• Applicant Institution: Eberhard Karls Universität Tübingen
• Project Heads: Professor Andreas Bartels, Ph.D.; Professor Michael Black, Ph.D.