Title
Spatio-Temporal Querying In Video Databases
Abstract
In this paper a video data model that allows efficient and effective representation and querying of spatio-temporal properties of objects is presented. The data model is focused on the semantic content of video streams. Objects, events, activities performed by objects are main interests of the model. The model supports fuzzy spatial queries including querying spatial relationships between objects and querying the trajectories of objects. The model is flexible enough to define new spatial relationship types between objects without changing the basic data model. A prototype of the proposed model has been implemented. The prototype allows various spatio-temporal queries along with the fuzzy ones and it is prone to implement compound queries without major changes in the data model. © Springer-Verlag Berlin Heidelberg 2002.
Publication Date
12-1-2002
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
2522 LNAI
Number of Pages
251-262
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84867299069 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84867299069
STARS Citation
Köprülü, Mesru; Çiçekli, Nihan Kesim; and Yazici, Adnan, "Spatio-Temporal Querying In Video Databases" (2002). Scopus Export 2000s. 2263.
https://stars.library.ucf.edu/scopus2000/2263
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