Title
Semantic Reasoning Based Video Database Systems
Abstract
A constraint of existing content-based video data models is that each modeled semantic description must be associated with time intervals exactly within which it happens and semantics not related to any time interval are not considered. Consequently, users are provided with limited query capabilities. This paper is aimed at developing a novel model with two innovations: (1) Semantic contents not having related time information can be modeled as ones that do; (2) Not only the temporal feature of semantic descriptions, but also the temporal relationships among themselves are components of the model. The query system is by means of reasoning on those relationships. To support users5 access, a video algebra and a video calculus as formal query languages, which are based on semantic relationship reasoning, are also presented.
Publication Date
1-1-2000
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
1873
Number of Pages
41-50
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/3-540-44469-6_5
Copyright Status
Unknown
Socpus ID
84947927330 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84947927330
STARS Citation
Tran, Due A.; Hua, Kien A.; and Vu, Khanh, "Semantic Reasoning Based Video Database Systems" (2000). Scopus Export 2000s. 942.
https://stars.library.ucf.edu/scopus2000/942