A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Change-Detection Algorithm Based on Structure and Colour
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Detection of Changes in Surveillance Videos
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Rule-based spatiotemporal query processing for video databases
The VLDB Journal — The International Journal on Very Large Data Bases
BilVideo: Design and Implementation of a Video Database Management System
Multimedia Tools and Applications
Content-based event retrieval using semantic scene interpretation for automated traffic surveillance
IEEE Transactions on Intelligent Transportation Systems
Automatic detection and indexing of video-event shots for surveillance applications
IEEE Transactions on Multimedia
Real-time video-shot detection for scene surveillance applications
IEEE Transactions on Image Processing
Content-based retrieval of historical Ottoman documents stored as textual images
IEEE Transactions on Image Processing
Fast and automatic video object segmentation and tracking for content-based applications
IEEE Transactions on Circuits and Systems for Video Technology
Object-based video abstraction for video surveillance systems
IEEE Transactions on Circuits and Systems for Video Technology
Multimodal observation systems
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A query language combining object features and semantic events for surveillance video retrieval
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Silhouette-Based method for object classification and human action recognition in video
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
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Automated visual surveillance has emerged as a trendy application domain in recent years. Many approaches have been developed on video processing and understanding. Content-based access to surveillance video has become a challenging research area. The results of a considerable amount of work dealing with automated access to visual surveillance have appeared in the literature. However, the event models and the content-based querying and retrieval components have significant gaps remaining unfilled. To narrow these gaps, we propose a database model for querying surveillance videos by integrating semantic and low-level features. In this paper, the initial design of the database model, the query types, and the specifications of its query language are presented.