Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
This paper addresses the problem of matching visual parts of video sequences from within a large collection. The visual content of a video sequence is described by the set of the ...
This paper presents intermodal collaboration: a strategy for semantic content analysis for broadcasted sports video. The broadcasted video can be viewed as a set of multimodal str...
Extracting human postural information from video sequences has proved a difficult research question. The most successful approaches to date have been based on particle filtering, ...
A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, trafic monitoring and ...