Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
In this paper, we address the problem of motion recognition using event-based local motion representations. We assume that similar patterns of motion contain similar events with c...
This paper presents a proposal for a novel video coding scheme intended to encode human faces in video sequences at very high compression using a recognition and reconstruction ap...
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper we demonstrate how such fe...
While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. In this paper, we propose to use adaptive...