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http://dx.doi.org/10.9717/kmms.2016.19.8.1498

Semantic Image Annotation and Retrieval in Mobile Environments  

No, Hyun-Deok (Division of Computer and Information Engineering., Hoseo University)
Seo, Kwang-won (Division of Computer and Information Engineering., Hoseo University)
Im, Dong-Hyuk (Division of Computer and Information Engineering., Hoseo University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.8, 2016 , pp. 1498-1504 More about this Journal
Abstract
The progress of mobile computing technology is bringing a large amount of multimedia contents such as image. Thus, we need an image retrieval system which searches semantically relevant image. In this paper, we propose a semantic image annotation and retrieval in mobile environments. Previous mobile-based annotation approaches cannot fully express the semantics of image due to the limitation of current form (i.e., keyword tagging). Our approach allows mobile devices to annotate the image automatically using the context-aware information such as temporal and spatial data. In addition, since we annotate the image using RDF(Resource Description Framework) model, we are able to query SPARQL for semantic image retrieval. Our system implemented in android environment shows that it can more fully represent the semantics of image and retrieve the images semantically comparing with other image annotation systems.
Keywords
Image tag; Ontology; Image Annotation; Mobile; Image retrieval;
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Times Cited By KSCI : 1  (Citation Analysis)
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