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Proceedings Paper

OVID: toward object-based video retrieval
Author(s): Barbara V. Levienaise-Obadia; William J. Christmas; Josef Kittler; Kieron Messer; Yusseri Yusoff
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Paper Abstract

The current trend in content-based retrieval is the development of object-based systems. Such systems enable users to make higher level queries which are more intuitive to them than queries based on visual primitives. In this paper, we present OVID, our Object-based VIDeo retrieval system. It currently consists of a video parsing module, an annotation module, a user interface and a search mechanism. A combined multiple expert approach is at the heart of the video parsing routine for an improved performance. The annotation module extracts color and texture-based region information which will be used by the neural-network-based search routine at query tie. The iconic query paradigm on which the system is based provides users with a flexible means to define object-based queries.

Paper Details

Date Published: 23 December 1999
PDF: 12 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373586
Show Author Affiliations
Barbara V. Levienaise-Obadia, Univ. of Surrey (United Kingdom)
William J. Christmas, Univ. of Surrey (United Kingdom)
Josef Kittler, Univ. of Surrey (United Kingdom)
Kieron Messer, Univ. of Surrey (United Kingdom)
Yusseri Yusoff, Univ. of Surrey (United Kingdom)

Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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