Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

9-2007

Abstract

Multimedia-based ontology construction and reasoning have recently been recognized as two important issues in video search, particularly for bridging semantic gap. The lack of coincidence between low-level features and user expectation makes concept-based ontology reasoning an attractive midlevel framework for interpreting high-level semantics. In this paper, we propose a novel model, namely ontology-enriched semantic space (OSS), to provide a computable platform for modeling and reasoning concepts in a linear space. OSS enlightens the possibility of answering conceptual questions such as a high coverage of semantic space with minimal set of concepts, and the set of concepts to be developed for video search. More importantly, the query-to-concept mapping can be more reasonably conducted by guaranteeing the uniform and consistent comparison of concept scores for video search. We explore OSS for several tasks including conceptbased video search, word sense disambiguation and multimodality fusion. Our empirical findings show that OSS is a feasible solution to timely issues such as the measurement of concept combination and query-concept dependent fusion.

Keywords

Concept-based video search, Ontology, Semantic space

Discipline

Data Storage Systems | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of the 15th ACM International Conference on Multimedia, MM2007, Augsburg, Bavaria, September 23-28

First Page

981

Last Page

990

ISBN

9781595937025

Identifier

10.1145/1291233.1291447

Publisher

ACM

City or Country

Augsburg, Bavaria

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