Abstract
This paper attempts to review and characterise the problem of the semantic gap in image retrieval and the
attempts being made to bridge it. In particular, we draw from our own experience in user queries, automatic
annotation and ontological techniques. The first section of the paper describes a characterisation of the semantic
gap as a hierarchy between the raw media and full semantic understanding of the media’s content. The second
section discusses real users’ queries with respect to the semantic gap. The final sections of the paper describe our
own experience in attempting to bridge the semantic gap. In particular we discuss our work on auto-annotation
and semantic-space models of image retrieval in order to bridge the gap from the bottom up, and the use of
ontologies, which capture more semantics than keyword ob ject labels alone, as a technique for bridging the gap
from the top down.
Original language | English |
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Title of host publication | Proceedings of multimedia content analysis, management and retrieval 2006 |
Editors | E.Y. Chang, A. Hanjalic, N. Sebe |
Publisher | SPIE |
Volume | 6073 |
ISBN (Print) | 081946113X |
Publication status | Published - 2006 |
Event | Proceedings of multimedia content analysis, management and retrieval 2006 - Duration: 1 Jan 2006 → … |
Conference
Conference | Proceedings of multimedia content analysis, management and retrieval 2006 |
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Period | 1/01/06 → … |
Keywords
- Semantic Gap
- Image Retrieval
- Automatic Annotation
- Ontologies
- Cross Language Latent Semantic Indexing