Semantic Image Retrieval Using RDF Metadata Based on the Representation of Spatial Relationships 


Vol. 11,  No. 5, pp. 573-580, Aug.  2004
10.3745/KIPSTB.2004.11.5.573


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  Abstract

As the modern techniques have improved, people intend to store and manage the information on the web. Especially, it is the image data that is given a great deal of weight of the information because of the development of the scan and popularization of the digital camera and the cell-phone's camera. However, most image retrieval systems are still based on the text annotations while many images are creating everyday on the web. In this paper, we suggest the new approach for the semantic image retrieval using the RDF metadata based on the representation of the spatial relationships. For the semantic image retrieval, firstly we define the new vocabularies to represent the spatial relationships between the objects in the image. Secondly, we write the metadata about the image using RDF and new vocabularies. Finally, we could expect more correct result in our image retrieval system.

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[IEEE Style]

M. G. Hwang, H. J. Kong, P. K. Kim, "Semantic Image Retrieval Using RDF Metadata Based on the Representation of Spatial Relationships," The KIPS Transactions:PartB , vol. 11, no. 5, pp. 573-580, 2004. DOI: 10.3745/KIPSTB.2004.11.5.573.

[ACM Style]

Myung Gwun Hwang, Hyun Jang Kong, and Pan Koo Kim. 2004. Semantic Image Retrieval Using RDF Metadata Based on the Representation of Spatial Relationships. The KIPS Transactions:PartB , 11, 5, (2004), 573-580. DOI: 10.3745/KIPSTB.2004.11.5.573.

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