Research
Visual data is becoming an integral part of society. For the general public visual data and its sharing through social media has become a way of living and is leading to a new digital culture. Scientists use cameras to record observations as source for scientific discoveries. Criminals have embraced the Internet to distribute illegal and disturbing content. Visual collections and their contextual data potentially contain a wealth of information which can range from scientific discoveries, image demographics, trends, or preferences, to forensic evidence and intelligence. Automatic algorithms are inferior to the human capabilities of identifying visual semantics or subtle patterns. Yet image collections are too voluminous to be processed by humans.
In MultiX we research multimedia analytics by developing AI techniques for getting the richest information possible from the data (image/video/text/graphs) interactions surpassing human and machine intelligence, and visualizations blending it all in effective interfaces for applications in health, forensics and law enforcement, cultural heritage, urban livability, and social media analysis. For more information see the website of the MultiX group
