We present a data-driven, unsupervised method for unusual
scene detection from static webcams. Such time-lapse
data is usually captured with very low or varying framerate.
This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
We propose a new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques. Our approach achieves a sublinear complexi...
Bogdan Matei, Ying Shan, Harpreet S. Sawhney, Yi T...
Within the TENCompetence project we aim to develop and integrate models and tools into an open source infrastructure for the creation, storage and exchange of learning objects, sui...
Ivana Marenzi, Elena Demidova, Wolfgang Nejdl, Dan...
—Traditional hierarchical namespaces are not sufficient for representing and managing the rich semantics of today’s storage systems. In this paper, we discuss the principles o...
Zhichen Xu, Magnus Karlsson, Chunqiang Tang, Chris...