Exploring digital image collections through synergy of expert and machine
Computer vision and machine learning techniques have reached a level that provides the means to understand digital images at basic levels and can do so at image collection scales that are far beyond human capabilities. Human expert knowledge can reveal patterns of interest for small scale collections in much more depth. In this presentation, we consider how the complementary skills of experts and machine can come together to research image collections in innovative ways by leveraging automatic techniques and information visualization.
Marcel Worring is an associate professor in the Informatics Institute of the University of Amsterdam and a full professor at the Amsterdam Business School of the same university. He is associate director of Amsterdam Data Science in which researchers from the CWI, HvA, VU and UvA come together to collaborate in the broad domain of data science. He is project leader of one of the projects in the Netherlands Institute for Conservation, Art and Science. His research interest is in multimedia analytics, combining multimedia analysis, machine learning and interactive visualization.