NDLI: Extracting spatial semantics in association rules for ocean image retrieval

Content Provider	IEEE Xplore Digital Library
Author	Li-Jen Kao Yo-Ping Huang Sandnes, F.E.
Copyright Year	2009
Description	Author affiliation: Faculty of Engineering, Oslo University College, Oslo, Norway (Sandnes, F.E.) \|\| Department of Multimedia and Game, Science, Taipei College of Maritime, Technology, Taipei, 11174 Taiwan (Li-Jen Kao) \|\| Department of Electrical Engineering, National Taipei University of Technology, Taipei, 10608 Taiwan (Yo-Ping Huang)
Abstract	Several research institutions and governmental departments provide ocean images for research purposes. For example, Argo, a worldwide ocean research organization, produces ocean salinity and temperature images and researchers can download those images from the Internet. One may build an image system to store ocean images and retrieve them later for further research, for example, to predict future salinity or temperature variation. Image retrieval technology is therefore important. This paper describes an ocean image retrieval system based on content-based image retrieval. Currently, content-based image retrieval technology does not exploit high-level semantics, and it is hard to obtain predictive information from retrieved images. Our improvement involves a spatial reference method that is used to help get the spatial relationships between objects for a certain image. This allows the spatial semantics between the query image and images in database to be considered. Spatial association rules are also mined and are subsequently used as a basis for retrieving additional images. As the spatial semantics in both the query image and spatial association rules, the retrieved images are more accurate. The experimental results verify that the system effectively predicts the occurrence of salinity or temperature variations.
Starting Page	2924
Ending Page	2929
File Size	715986
Page Count	6
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5346105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Association rules Image retrieval Content based retrieval Ocean temperature Marine technology Information retrieval Ocean salinity Internet Image databases Spatial databases ocean salinity and temperature images content-based image retrieval spatial association rules mining
Content Type	Text
Resource Type	Article

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