Title :
A framework for trajectory based visual event retrieval
Author :
Ersoy, Ilker ; Bunyak, Filiz ; Subramanya, S.R.
Author_Institution :
Dept. of Comput. Sci., Missouri Univ., Rolla, MO, USA
Abstract :
We present a framework of a system for the query and retrieval of video data based on video events in huge video repositories. The events are formulated using domain-independent event primitives, which are represented by spatio-temporal relationships between objects in the video scenes. Complex events are expressible as combinations of simpler events. This facilitates support of event queries from a variety of points of view. In addition, the framework is expected to provide adaptability of the framework to multiple domains.
Keywords :
content-based retrieval; image retrieval; image sequences; spatiotemporal phenomena; video databases; domain-independent event primitives; spatio-temporal relationships; trajectory based visual event retrieval; video data querying; video data retrieval; video events; video repositories; video scenes; Computer science; Event detection; Humans; Indexing; Layout; Monitoring; Pattern analysis; Surveillance; Vehicle dynamics; Videoconference;
Conference_Titel :
Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
Print_ISBN :
0-7695-2108-8
DOI :
10.1109/ITCC.2004.1286584