Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used. To increas...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
Working with IBR/BTF data requires a complete calibration. Modern setups speed up recordings by using multiple lamps and cameras. Therefore, the calibration task gets more time co...
Alexander Neubeck, Alexey Zalesny, Luc J. Van Gool
This paper investigates the level of metadata accuracy required for image filters to be valuable to users. Access to large digital image and video collections is hampered by ambig...
We think that Massively Multi-user Online Role-Playing Games (MMORPGs) will soon evolve into Online Societies of political and economic interest. Studying them will require a metho...
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...