1 To achieve more efficient video indexing and access, we introduce a video database management framework and strategies for video content structure and events mining. The video sh...
Xingquan Zhu, Walid G. Aref, Jianping Fan, Ann Chr...
We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and r...
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
Mining actor correlations from TV series enables semanticlevel video understanding and facilitates users to conduct correlation-based query. In this paper, we introduce a graphbas...