A rule-based video database system architecture
Information Sciences—Informatics and Computer Science: An International Journal
Rule-based spatiotemporal query processing for video databases
The VLDB Journal — The International Journal on Very Large Data Bases
Spatio-temporal querying in video databases
Information Sciences—Informatics and Computer Science: An International Journal
Object Level Frame Comparison for Video Shot Detection
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
BilVideo: Design and Implementation of a Video Database Management System
Multimedia Tools and Applications
Natural language querying for video databases
Information Sciences: an International Journal
Adaptive edge-oriented shot boundary detection
Journal on Image and Video Processing
GMQL: A graphical multimedia query language
Knowledge-Based Systems
Structural and event based multimodal video data modeling
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Video model for dynamic objects
Information Sciences: an International Journal
Flexible querying using structural and event based multimodal video data model
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Real-Time Query Processing on Live Videos in Networks of Distributed Cameras
International Journal of Interdisciplinary Telecommunications and Networking
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This paper presents a query processing strategy for the content-based video query language named CVQL. By CVQL, users can flexibly specify query predicates by the spatial and temporal relationships of the content objects. The query processing strategy evaluates the predicates and returns qualified videos or frames as results. Before the evaluation of the predicates, a preprocessing is performed to avoid unnecessary accessing of videos which are impossible to be the answers. The preprocessing checks the existence of the content objects specified in the predicates to eliminate unqualified videos. For the evaluation of the predicates, an M-index is designed based on the analysis of the behaviors of the content objects. The M-index is employed to avoid frame-by-frame evaluation of the predicates. Experimental results are presented to illustrate the performance of this approach