A Framework for Ontology Enriched Semantic Annotation of CCTV Video

Author

Vrusias, B. ; Makris, Dimitrios ; Renno, J.-P. ; Newbold, N. ; Ahmad, Khadher ; Jones, Glenn

Author_Institution

Univ. of Surrey, Guildford

fYear

2007

fDate

6-8 June 2007

Firstpage

5

Lastpage

5

Abstract

This paper deals with the problem of semantic transcoding of CCTV video footage. A framework is proposed that combines Computer Vision algorithms that extract visual semantics, together with Natural Language Processing that automatically builds the domain ontology from unstructured text annotations. The final aim is a system that will link the visual and text semantics in order to routinely annotate video sequences with the appropriate keywords of the domain experts´ terminology.

Keywords

image sequences; natural language processing; ontologies (artificial intelligence); transcoding; video coding; CCTV video footage; computer vision; domain expert terminology; domain ontology building; keywords; natural language processing; semantic annotation; semantic transcoding; text annotation; text semantics; video sequences; visual semantics extraction; Computer vision; Humans; Layout; Motion analysis; Motion detection; Natural language processing; Object detection; Ontologies; Transcoding; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis for Multimedia Interactive Services, 2007. WIAMIS '07. Eighth International Workshop on

Conference_Location

Santorini

Print_ISBN

0-7695-2818-X

Electronic_ISBN

0-7695-2818-X

Type

conf

DOI

10.1109/WIAMIS.2007.4

Filename

4279112