SMART: A grammar - based semantic video modeling and representation

Author

Jain, Vani ; Aygun, Ramazan

Author_Institution

Univ. of Alabama, Huntsville

fYear

2008

fDate

3-6 April 2008

Firstpage

247

Lastpage

251

Abstract

Multimedia database modeling and representation is significant for efficient storage and retrieval of multimedia. Modeling of semantic video content that enables spatiotemporal queries is one of the challenging tasks. In this paper, we provide a semantic modeling and retrieval system, termed as SMART. We provide a method that helps represent the semantic contents of video such as objects, events, and locations as a grammar based string. This linear string representation enables both the spatial and temporal description of the video. Various types of queries such as event-object-location, event-location, object-location, and event-object are supported by SMART. We show our results on the tennis video database.

Keywords

grammars; multimedia databases; spatiotemporal phenomena; video databases; video retrieval; SMART; event-object-location; grammar; multimedia database modeling; multimedia database representation; semantic retrieval system; semantic video modeling; semantic video representation; spatiotemporal query; tennis video database; Computer science; Data mining; Database languages; Fuzzy systems; Information retrieval; Multimedia databases; Spatial databases; Spatiotemporal phenomena; Videoconference; YouTube; Video databases; semantic video retrieval; spatiotemporal queries; video modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon, 2008. IEEE

Conference_Location

Huntsville, AL

Print_ISBN

978-1-4244-1883-1

Electronic_ISBN

978-1-4244-1884-8

Type

conf

DOI

10.1109/SECON.2008.4494294

Filename

4494294