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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Papadopoulos, G.T. Saathoff, C. Grzegorzek, M. Mezaris, V. Kompatsiaris, I. Staab, S. Strintzis, M.G. |
| Copyright Year | 2009 |
| Description | Author affiliation: Information Processing Lab., Electrical & Computer Eng. Dep., Aristotle University of Thessaloniki, GR-54124, Greece (Papadopoulos, G.T.; Strintzis, M.G.) || Information Systems & Semantic Web Research Group, Institute for Computer Science, University of Koblenz - Landau, Germany (Saathoff, C.; Grzegorzek, M.; Staab, S.) || Informatics & Telematics Institute, Centre for Research & Technology Hellas, 6th Klm. Charilaou - Thermi Road, Thessaloniki, GR-57001, Greece (Mezaris, V.; Kompatsiaris, I.) |
| Abstract | In this paper, two approaches to utilizing contextual information in semantic image analysis are presented and comparatively evaluated. Both approaches make use of spatial context in the form of fuzzy directional relations. The first one is based on a Genetic Algorithm (GA), which is employed in order to decide upon the optimal semantic image interpretation by treating semantic image analysis as a global optimization problem. On the other hand, the second method follows a Binary Integer Programming (BIP) technique for estimating the optimal solution. Both spatial context techniques are evaluated with several different combinations of classifiers and low-level features, in order to demonstrate the improvements attained using spatial context in a number of different image analysis schemes. |
| Starting Page | 161 |
| Ending Page | 164 |
| File Size | 165270 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424436095 |
| e-ISBN | 9781424436101 |
| DOI | 10.1109/WIAMIS.2009.5031457 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-06 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semantic Web Image segmentation Image analysis Image retrieval Information processing Image generation Telematics Classification algorithms Informatics Information systems |
| Content Type | Text |
| Resource Type | Article |
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