Content-Based Video Indexing and Retrieval
IEEE MultiMedia
OVID: Design and Implementation of a Video-Object Database System
IEEE Transactions on Knowledge and Data Engineering
A Temporal Foundation of Video Databases
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
Video Surveillance of Interactions
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
A Multi-Agent Framework for Visual Surveillance
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Agent Orientated Annotation in Model Based Visual Surveillance
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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This paper addresses the need for a semantic videoobject approach for efficient storage and manipulation of video data to respond to the needs of several classes of potential applications when efficient management and deductions over voluminous data are involved. We present the VIGILANT conceptual model for content and event-based retrieval of video images and clips using automatic annotation and indexing of contents and events representing the extracted features and recognised objects in the images captured by a video camera in a car park environment. The underlying videoobject model combines Object-Oriented modelling (OO) techniques and Description Logics (DLs) Knowledge representation. The OO technique models the static aspects of video clips and instances and their indexes will be stored in an Object-Oriented Database. The DLs model will extend the OO model to cater for the inherent dynamic content descriptions of the video, as events tend to spread over a sequence of frames.