ARTIFICIAL INTELLIGENCE AND INFORMATION ANALYSIS (AIIA) LAB
DEPARTMENT OF INFORMATICS, UNIVERSITY OF THESSALONIKI
PROFILE
The AIIA Lab at the University of Thessaloniki is an active research group working for more than one decade in multimedia/digital image processing and related areas. It consists of three faculty members, 3 Postdoc researchers, 5 researchers and 15 PhD students.
Its topics of interest span the areas of digital image/video processing, computer vision, watermarking and IPR protection, biometrics, cultural heritage conservation, 3D image medical image processing, distance learning, virtual reality in medicine/dentistry, speech processing, signal processing, language engineering. It has undertaken the following projects in those areas recently:
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Emotional computing for crisis handling, PENED, Greek Ministry of Technology
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Undergraduate and MSc studies in Digital media, EPEAEK, Greek Ministry of Education
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WORLDSTUDIO, 3D graphics/VR, IST, EU
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HYPERGEO, Mobile tourist geograohical information systems, IST, EU
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CAROUSSO, 3D audio/video environments, IST, EU
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MOUMIR multimedia retrieval, RTN, EU
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MUHCI, multimodal HCI, RTN, EU
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PENED99, 3D medical imaging, GSRT, Greece
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CERTIMARK, watermark benchmarking, IST, EU
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INSPECT, Chaotic signal processing for watermarking, LTR, EU
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Distance learning in Dentistry, Greece
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Distance learning for digital image and audio processing, Greek Ministry of Education
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DANAOS, e-studies in Digital media, Greek Ministry of Education
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OKAPI, Access control for multimedia systems, ACTS, EU
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M2VTS, Multimodal person verification, ACTS, EU
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Access control and copyright protection (ACCOPI, RACE).
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Stereoscopic HDTV (DISTIMA). RACE, EC.
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NOBLESSE, Nonlinear image analysis, LTR, EU.
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Nonlinear and adaptive techniques in digital image processing, analysis and computer vision (NAT). ESPRIT Basic Research Action, EC.
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Model based analysis of video information (MAVI), Human Capital and Mobility, EC.
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Color image processing and analysis, Greek Ministry of Technology.
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Image sequence processing and analysis, Greek Ministry of Technology.
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Parallel color image processing and multichannel signal processing. ESPRIT Parallel Computing Action (PCA), EC. Prof. Pitas was member of the PCA steering committee, responsible for digital signal processing and neural networks group.
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Digital processing and analysis of ultrasound images, AIM, EC.
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Three-dimensional microscopy. It is funded by the Greek Ministry of Technology.
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Improving critical care patient monotoring (IMPROVE), BIOMED.
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Construction of a knowledge-based system for seismic image analysis having learning capabilities. This project has been financed by the Greek Ministry of Technology.
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Neumann Network, TEMPUS project on parallel processing. It is funded by the EC.
As a result of this research more than 420+ publications in international scientific journals, and conference proceedings, 7 books and 15 book chapters have been published.
Such books are "Nonlinear Digital Filters: Principles and Applications" (Kluwer, 1990), ‘3D image processing algorithms’ (Wiley 2000), "Digital Image Processing Algorithms" (Prentice Hall, 1993), ‘Digital image processing algorithms and applications’ (Wiley 2000), ‘Digital image processing’ (in Greek, 1999), "Parallel Algorithms and Architectures for Digital Image Processing, Computer Vision and Neural Networks" (Wiley, 1993), ‘Nonlinear Model-Based Image/Video Processing and Analysis’ (Wiley 2000). We have organized and hosted IEEE NSIP1995, the biggest international scientific event on image processing IEEE ICIP2001 and we co-organize the 2003 International workshop on Interactive multimedia Content Production.
The group has strong cooperation with other Universities, research centers and industrial partners in the area of its interests through projects mainly funded by the European community.
Contact person:
I. Pitas, Professor
Department of Informatics
University of Thessaloniki
Thessaloniki 54124, PO BOX 451
Greece
Tel: +30-2310-996304
Tel: +30-2310-996361 (secretary)
Fax: +30-2310-996304
e-mail: pitas@zeus.csd.auth.gr
http://poseidon.csd.auth.gr/
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