Referenced Items are not available for this document.
Most of the currently existing image retrieval systems make use of either low-level features or semantic (textual) annotations. A combined usage during annotation and retrieval is rarely attempted. In this paper, we present a query language that makes use of both, low and high level annotations, that are provided in the MPEG-7 standard. The query language is based on results from quantum logic and improves existing fuzzy approaches. Furthermore, it is integrated in the SAFIRE system, a framework for semi-automatic image annotation and retrieval.
Published in:
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Date of Conference: 23-26 July 2007
- Page(s):
- 1 - 6
- ISSN :
- 1098-7584
- E-ISBN :
- 1-4244-1210-2
- Print ISBN:
- 1-4244-1209-9
- INSPEC Accession Number:
- 9811312
- Conference Location :
- London
- Digital Object Identifier :
- 10.1109/FUZZY.2007.4295682
- Product Type:
- Conference Publications
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