Given very few images containing a common object of interest under severe variations in appearance, we detect the common object and provide a compact visual representation of that...
Shai Bagon, Or Brostovski, Meirav Galun, Michal Ir...
A system developed to demonstrate integration of a number of key research areas such as localization, recognition, visual tracking, visual servoing and grasping is presented toget...
Lars Petersson, Patric Jensfelt, Dennis Tell, M. S...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...