DocumentCode
3373914
Title
A knowledge representation and reasoning support for modeling and querying video data
Author
Ardizzone, Edoardo ; Hacid, Mohand-Said
Author_Institution
Dipt. di Ingegneria Autom. e Inf., Palermo Univ., Italy
fYear
1999
fDate
1999
Firstpage
167
Lastpage
174
Abstract
Describes a knowledge-based approach for modelling and retrieving video data. Selected objects of interest in a video sequence are described and stored in a database. This database forms the object layer. On top of this layer, we define the schema layer that is used to capture the structured abstractions of the objects stored in the object layer. We propose two abstract languages on the basis of description logics: one for describing the contents of these layers and the other, which is more expressive, for making queries. The query language provides possibilities for navigation of the schema through forward and backward traversal of links, sub-setting of attributes and constraints on links
Keywords
data models; database theory; deductive databases; formal logic; image sequences; knowledge representation; object-oriented databases; query languages; query processing; spatial reasoning; video databases; abstract languages; attribute sub-setting; backward link traversal; description logics; expressiveness; forward link traversal; knowledge representation; knowledge-based approach; layer contents description language; link constraints; object layer; query language; reasoning support; schema layer; schema navigation; structured abstractions; video data modelling; video data querying; video data retrieval; video database; video sequence; Artificial intelligence; Computer science; Database languages; Electrical capacitance tomography; Image coding; Information retrieval; Knowledge representation; Navigation; Video compression; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
Conference_Location
Chicago, IL
ISSN
1082-3409
Print_ISBN
0-7695-0456-6
Type
conf
DOI
10.1109/TAI.1999.809782
Filename
809782
Link To Document