Philips Research scientists 

Name:DI J.A.D. (Jan) Nesvadba
E-mail:jan.nesvadba (@) philips.com
Address:High Tech Campus 34   (internal post: WB4), 5656 AE  Eindhoven, The Netherlands

Bio

Jan Nesvadba

Jan Nesvadba obtained his M.Sc. (cum laude) in electrical engineering (telecommunication and information technology) at Vienna University of Technology, Austria, in 1997. In his final year he researched the field of electro-biology dealing with di-electrophoresis of biological cells (thesis). Currently, he is finalizing his Ph.D. thesis at Labri, Univ. of Bordeaux, France.

He joined Philips Research, The Netherlands, in 1998 and started his research career working on digital return channels for HybridFiberCoax (HFC)-networks. His current fields of investigation as senior scientist and project leader (project CASSANDRA) at Philips Research are retrieval algorithms (multimedia content analysis, computer vision, multimedia signal processing), related smart system architectures (e.g. distributed content analysis for Consumer Electronics in-home networks, grid computing) for audiovisual content analysis, the adaptation of existing ICs (encoders, codecs) for the real-time generation of content descriptors (e.g. MPEG-7) and the optimal use of these descriptors in consumer storage devices and user interfaces.

He is extensively publishing in those fields (conference-, journal papers, book chapters), holds over ten granted or pending US-patents in the above mentioned fields and supports as committee member multiple related conferences. Furthermore, he is active member of various national and international projects, e.g. ITEA AVIR, ITEA CANDELA, ITEA CANTATA and bsik MultimediaN.

Journals

  1. F de Lange, J. Nesvadba, 'Early Evaluation of Future Consumer AV Content Analysis Applications with PC networks', Journal Multimedia Tools and Applications (Special Issue of MTAP)
  2. P. Fonseca, J. Nesvadba, ‘Face Tracking in the Compressed Domain’, , Published in: EURASIP Journal on Applied Signal Processing, Information Mining from Multimedia Databases, Volume 2006, Article ID 59451, Pages 1-11, DOI: 10.1155/ASP/2006/59451;

Conference and workshop papers

  1. J. Nesvadba, Y.S. Joshi, 'Parallel Shot Detection for AV Content Segmentation', IEEE Int. Conf. on Multimedia & Expo (ICME 2006), Toronto, Canada, July 9-12, 2006, (Notification March 7, 2006).
  2. A. Korostelev, J. Lukkien, J. Nesvadba, ‘Error Detection in Service-Oriented Distributed Systems’, IEEE Int. Conf. on Dependable Systems and Networks (DSN 2006), Philadelphia, USA, June 25-28, 2006, (Notification February 28, 2006).
  3. J. Nesvadba, F. d. Lange, A. Sinitsyn, J. Lukkien, A. Korostelev, ‘Distributed and Adaptive Multimedia Content Analysis Prototyping Framework for Consumer Electronics’, Invited Paper, IEEE International Conference on Consumer Electronics (ICCE 2005), Las Vegas, USA, January 7 - 11, 2006.
  4. A. Hanjalic, J. Nesvadba, J. Benois-Pineau, ‘Moving away from narrow-scope Solutions in Multimedia Content Analysis’, European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, London, UK, November 30 - December 1, 2005.
  5. E. Jaspers, R. Wijnhoven, R. Albers, J. Nesvadba, A. Sinitsyn, J. Lukkien, X. Desuremont, P. Pietarila, R. Truyen, J. Palo, ‘CANDELA – Storage, Analysis and Retrieval of Video Content in Distributed Systems’, Int. Workshop on Adaptive Multimedia Retrieval (AMR 2005), Glasgow, UK, July 28-29, 2005, Published book: "Adaptive Multimedia Retrieval: User, Context and Feedback", pp 116 - 131, Springer.
  6. W. Fontijn, J. Nesvadba, A. Sinitsyn, ‘Integrating Media Management towards Ambient Intelligence’, Int. Workshop on Adaptive Multimedia Retrieval (AMR 2005), Glasgow, UK, July 28-29, 2005, Published book: "Adaptive Multimedia Retrieval: User, Context and Feedback", pp 106 - 115, Springer.
  7. J. Nesvadba, A. Hanjalic, P. Fonseca, B. Kroon, H. Celik, E. Hendriks, ‘Towards a real-time and distributed system for face detection, pose estimation and face-related features’, Invited Paper, Proc. Int. Con. on Methods and Techniques in Behavioral Research, Wageningen, The Netherlands, 2005.
  8. J. Nesvadba, et al., ‘Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks’, Proc. Int. Conf. for Multimedia and Expo (ICME 2005), pp 1549-1552, Amsterdam, The Netherlands, June 6-8, 2005.
  9. J. Nesvadba, F. Ernst, J. Perhavc, J. Benois-Pineau, L. Primaux, ‘Comparison of Shot Boundary Detectors’, Int. Conf. for Multimedia and Expo (ICME 2005), pp 788-791, Amsterdam, The Netherlands, June 6-8, 2005.
  10. F. de Lange, J. Nesvadba, ‘Rapid Prototyping of Multimedia Analysis Systems - A Networked Hardware/Software Framework’, Proc. Int. Conf. On Web Information Systems and Technologies (WEBIST 2005), pp. 104-109, Miami, USA, May 26-28, 2005.
  11. 11. F de Lange, J. Nesvadba, 'Applying PC network technology to assess new multimedia content analysis applications for future consumer electronics storage devices’, 4th Int. Conf. On Intelligent Multimedia Computing and Networking (IMMCN), Salt Lake City, USA, July 21-26, 2005.
  12. F de Lange, J. Nesvadba, ‘Applying PC technology to assess new AV content analysis applications for future CE storage products’, Philips Software conference 2005, Veldhoven, The Netherlands, April 13-15, 2005.
  13. J. Nesvadba, et al., ’CANDELA deliverable D1.1B State-of-the-art report, Annex’
  14. J. Nesvadba, N. Louis, J. Benois-Pineau, M. Desainte-Catherine, M. Klein Middelink, 'Low-level cross-media statistical approach for semantic partitioning of audio-visual content in a home multimedia environment', Proc. IEEE Int. Workshop on Systems, Signals and Image Processing (IWSSIP’04), pp. 235-238, Poznan, Poland, September 13-15, 2004.
  15. J. Nesvadba, P. M. Fonseca, R. Kleihorst, H. Broers, J. Fan, ‘Face Related Features in Consumer Electronic (CE) device environments’, Invited paper, Proc. IEEE Int'l Conf. on Systems, Man, and Cybernetics (IEEE SMC 2004), Special Session on Automatic Facial Expression Recognition, vol. 1, pp 641-648, ISBN 0-7803-8567-5, The Hague, Netherlands, 2004.
  16. P. Miguel Fonseca, J. Nesvadba, 'Face Detection in the Compressed Domain', IEEE Proc. Int. Conf. on Image Processing (IEEE ICIP 2004), vol. 3, pp.2015-2018, Singapore, October 2004, ISBN 0-7803-8554-3, Published by the IEEE, (IEEE Catalog Number: 04CH37580), 2004.
  17. L. Agnihotri, N. Dimitrova, T. McGee, S. Jeannin, D. Schaffer, J. Nesvadba, ‘Evolvable Visual Commercial Detector’, Proc. 2003 IEEE Conf. on Computer Vision and Pattern Recognition, Madison, Wisconsin, Vol 2, pp. II-79 – II-84, ISSN: 1063-6919, 18-20 June, 2003.
  18. N. Dimitrova, S. Jeannin, J. Nesvadba, T. McGee, L. Agnihotri, G. Mekenkamp, ‘Real-Time Commercial Detection Using MPEG Features’, Invited paper, Proc. 9th Int. Conf. On Information Processing and Management of Uncertainty in knowledge-based systems (IPMU 2002), pp. 481-486, Annecy, France.
  19. M. Barbieri, M. Ceccarelli, G. Mekenkamp, J. Nesvadba, ‘A Personal TV Receiver with Storage and Retrieval Capabilities’, User Modeling - Proc. of Workshop on personalization in future TV, 8th Conference on User Modeling (UM2005), Sonthofen, Germany, July 13-17, 2001.
  20. M. Barbieri, G. Mekenkamp, M. Ceccarelli, J. Nesvadba, ‘The Color Browser: A content driven linear browsing tool’  (IEEE Explore), Proc. Conf. on Multimedia and Expo (IEEE ICME2001), pp. 627-630, Tokyo, Japan, August 22-25, 2001.

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