Matthias Reso left the Institut für Informationsverabeitung.
Publications and research activities from the time after the departure are not listed here.
Matthias Reso achieved his Dipl.-Ing. degree in information technology, with an emphasis on communication technology and microelectronics, at the Universität Paderborn in December 2011.
Since then he has been working as a research assistant towards his Ph.D. degree at the Institut für Informationsverarbeitung at the Leibniz Universität Hannover. From July 2015 to January 2016 he did a research internship at Fyusion, Inc. in San Francisco, USA.
Show selected publications only
Temporally Object-based Video
Advances in Visual Computing, The final publication is available at link.springer.com, Springer-Verlag, Las Vegas, NV, USA, December 2015
Mesh-based Piecewise Planar Motion Compensation and Optical Flow Clustering for ROI Coding
APSIPA Transactions on Signal and Information Processing, Vol. 4, October 2015
Fast Label Propagation for Real-Time Superpixels for Video Content
IEEE International Conference on Image Processing (ICIP), Québec City, Canada, September 2015
Interactive Segmentation of High-Resolution Video Content using Temporally Coherent Superpixels and Graph Cut
Advances in Visual Computing, The final publication is available at link.springer.com, Springer-Verlag, Las Vegas, NV, USA, December 2014
Superpixels for Video Content Using a Contour-based EM Optimization
The 12th Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science (LNCS), The final publication is available at link.springer.com, Springer Berlin/Heidelberg, Singapore, November 2014
Temporally Consistent Superpixels
IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013
Optical Flow Cluster Filtering for ROI Coding
Proceedings of 30th Picture Coding Symposium, pp. 129-132, San Jose, California, USA, December 2013
Superpixel-based Segmentation of Moving Objects for Low Bitrate ROI Coding Systems
IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), pp. 395-400, Krakow, Poland, August 2013