Shape similarity search using XML and portal technology

Authors:
Man Hing Yu;Chee Chern Lim;Jesse S. Jin
Affiliations:
University of Sydney, NSW;University of Sydney, NSW;University of Sydney, NSW
Venue:
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Year:
2004

Citing 2
Cited 2

Visual Image Retrieval by Elastic Matching of User Sketches

IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity Retrieval of Trademark Images

IEEE MultiMedia

Textual description of shapes

Journal of Visual Communication and Image Representation
Outline matching of the 2d shapes using extracting XML data

ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing

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Abstract

This paper proposed an out-sourcing system to improve the shape recognition in terms of the accuracy, speed, and also the accessibility of such tool over the Internet. The proposed system will be implemented using XML and Java technology. It is the first web-based system to provide such shape-searching tool using the XML and out-source portal concepts. Users can either browse the shape and its similarities on the web or users can use the drawing tool to draw and search the shape. The proposed system will use a three-layers method to extract the features information of the shape and represent this information in an XML format. Then this XML value will be passed to registered web portals to search for any similar diagram using XML query. Query results will be returned and all matched results will be re-examined and ranked, hence the proposed system will return the best matched results to the user. The web-based system provides easy access for Internet user regardless of the operating platform.