Video indexing by spatial representation

Author

Iang, Raymondzh Ongjunl ; Enkatesh, Svethav ; Ieronska, Dorotak

Author_Institution

Sch. of Comput., Curtin Univ. of Technol., Perth, WA, Australia

fYear

1995

fDate

35030

Firstpage

99

Lastpage

104

Abstract

Recent approaches to video indexing and retrieval are either pixel-oriented or object-oriented. While the former approaches focus on motion and changes thereto, the latter focus on spatial relations among objects in the scene. In this paper, a spatial knowledge representation technique combining both approaches is proposed. This representation supplements the spatial knowledge of visual objects with information about their pixel positions in the video frame. It provides a practical way to construct video indices, enabling searching for and retrieval of video sequences that contain motion as well as sparsely disjoint objects

Keywords

deductive databases; image sequences; indexing; knowledge representation; multimedia systems; object-oriented databases; spatial reasoning; visual databases; motion; object spatial relations; object-oriented approach; pixel-oriented approach; sparsely disjoint objects; spatial knowledge representation; video frame pixel positions; video indexing; video retrieval; video sequence searching; visual objects; Australia; Brightness; Cameras; Image retrieval; Indexing; Knowledge representation; Layout; Optical recording; Pixel; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems, 1995. ANZIIS-95. Proceedings of the Third Australian and New Zealand Conference on

Conference_Location

Perth, WA

Print_ISBN

0-86422-430-3

Type

conf

DOI

10.1109/ANZIIS.1995.705722

Filename

705722