Research
Photowork
Ubiquitous and affordable digital cameras have enabled users to take pictures and videos everywhere and anytime. Photowork, i.e. assessing, selecting, editing, organizing, and annotating this large amount of visual data, is tedious and time-consuming, as it involves a lot of manual labor with only minimal basic computational support available to users. This project aims to address major gaps and challenges in automating photowork, with a particular focus on large content collections.
Visual Quality
Lossy compression methods for visual information in digital form introduce distortions whose perceptibility highly depends on scene content. Measuring the subjective visibility of these artifacts accurately and reliably is difficult. The focus of our research is on metrics for video quality assessment.
Cloud Analysis
Cloud and rain attenuation affect satellite communication, especially at high frequencies. We use images from low-cost ground-based camera systems to analyze cloud cover and its properties, with the aim of developing a cloud attenuation model that is location-specific and time sensitive.