Video summarization approaches have various fields of application, specifically related to organizing, browsing and accessing large video databases. In this paper we propose and ev...
Uros Damnjanovic, Tomas Piatrik, Divna Djordjevic,...
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
Detecting change of remote sensing images is very important for some applications such as tracking of moving objects and motion estimation. Traditional work on change detection ha...
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...