Authors:
Hansung Lee
;
Sohee Park
and
Jang-Hee Yoo
Affiliation:
Electronics and Telecommunications Research Institute, Korea, Republic of
Keyword(s):
Data Cube, Surveillance Video, OLAP, Video Indexing, Video Retrieval.
Related
Ontology
Subjects/Areas/Topics:
Multimedia
;
Multimedia Databases, Indexing, Recognition and Retrieval
;
Multimedia Systems and Applications
;
Semantic Analysis of Multimedia Data
;
Telecommunications
Abstract:
We propose a novel data cube model, viz., \emph{SurvCube}, for the multi-dimensional indexing and retrieval of surveillance videos. The proposed method provides the multi-dimensional analysis of interesting objects in surveillance videos according to the chronological view, events and locations by means of data cube structure. By employing the OLAP operation on the surveillance videos, it is able to provides desirable functionalities such as 1) retrieval of objects and events at a different level of abstraction, i.e., coarse to fine grained retrieval; 2) providing the tracing of interesting object trajectories across the cameras; 3) providing the summarization of surveillance video with respect to interesting objects (and/or events) and abstract level of time and locations.