We present an event-driven video adaptation system in this paper. Events are detected by audio/video analysis and annotated by the description schemes (DSs) provided by MPEG-7 Mul...
Min Xu, Jiaming Li, Yiqun Hu, Liang-Tien Chia, Bu-...
In this work, we systematically study the problem of event recognition in unconstrained news video sequences. We adopt the discriminative kernel-based method for which video clip s...
Annotation and retrieval tools for multimedia digital libraries have to cope with the complexity of multimedia content. In particular, when dealing with video content, annotation ...
– In this paper, we describe a robot that interacts with humans in a crowded conference environment. The robot detects faces, determines the shirt color of onlooking conference a...
Geoffrey A. Hollinger, Yavor Georgiev, Anthony Man...
We present a new active learning approach to incorporate
human feedback for on-line unusual event detection. In contrast to most
existing unsupervised methods that perform passiv...