Guest lecture: Recent Machine Learning Approaches with applications in Digital Media Analysis

Alexandros Iosifidis, postdoctoral researcher at Tampere University of Technology, Finland.

15.12.2016 | Jens Kargaard Madsen

Dato tor 22 dec
Tid 13:00 14:00
Sted Room 120, building 5125, Finlandsgade 22, 8200 Aarhus N

Recent advances in technological equipment, like digital cameras, smart-phones, etc., have led to an increase of the available digital media, e.g., images and videos, captured every day. Moreover, the amount of data captured for professional media production (e.g., movies, special effects, etc.), surveillance and monitoring applications has dramatically increased and diversified using multiple sensors (e.g., multi-view cameras, depth sensors, very high quality images, motion capture, etc.), justifying the digital media analysis as a big data analysis problem. While this fact has increased the potential of automated digital media data analysis approaches, it also generated issues that should be appropriately addressed. In this talk, an overview on recent research efforts for digital media analysis using statistical machine learning and neural networks for medium-scale and large-scale settings will be given. Their application in problems such as human face/facial expression/action recognition, object detection and recognition, salient object segmentation, image and text retrieval and their relation to autonomous robotics for assistive living will also be described and discussed.

Alexandros Iosifidis received the Diploma and the Master of Engineering in Electrical & Computer Engineering from Democritus University of Thrace in 2008 and 2010, respectively. He also received a Ph.D. in Informatics from Aristotle University of Thessaloniki in 2014. Currently, he is a postdoctoral researcher at Tampere University of Technology, holding one of the Academy of Finland Postdoctoral Research Fellow positions. In 2015, he was awarded a two-year postdoc fellowship given by TTY Foundation to five (in total) postdoctoral researchers from all scientific fields.

Dr. Iosifidis is a Senior member of IEEE, a member of EURASIP and alumni of the Young Scientists Club of the Finnish Academy of Science and Letters. He has participated in 8 research projects funded by EU, Greek and Finnish funding agencies. He has (co-)authored 36 journal papers, 57 conference papers and 4 book chapters in the areas of his expertise. His research interests include computational intelligence, pattern recognition, statistical machine learning, image and video processing and computer vision.

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