Keynote at IEEE ICSC 2016


Stefan gave a keynote at the IEEE International Conference on Semantic
Computing 2016 in Laguna Hills, California on Visual mining.

Like text mining, visual media mining tries to make sense of the world
through algorithms – albeit by analysing pixels instead of words. This
talk highlighted recent important technical advances in automated media
understanding, which has applications ranging from machines emulating the
human aesthetic judgment of photographs to typical visual mining tasks
such as analysing food images. Highlighted techniques include
near-duplicate detection, multimedia indexing and the role of machine
learning. While the first two enable visual search engines so that, eg, a
snapshot of a smart-phone alone links the real world to databases with
information about it, machine learning ultimately is the key to endowing
machines with human capabilities of recognition and interpretation. At the
talk Stefan looked into the crystal ball exploring what machines might
learn from automatically analysing tens of thousands of hours of TV