Similarity measurement for aggregation of spatial objects

Authors:
Byungwoo Kim;Jong P. Yoon
Affiliations:
University of Louisiana at Lafayette, Louisiana;University of Louisiana at Lafayette, Louisiana
Venue:
Proceedings of the 2005 ACM symposium on Applied computing
Year:
2005

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Abstract

SVG (Scalable Vector Graphics) is increasingly important to display multimedia data over the Internet. Although SVG is powerful in exchange, transformation, and rendering of image data, it has still the weakness of content-based component-sensitive image search mainly because it does not provide yet the descriptors of (component) image objects and their spatial relationships. Also, although similarity matches have been studied for long, similarity measurements for images that contain component image objects are not successfully developed. In this paper, we describe a new approach of a similarity measurement of aggregated image objects.