Publications (2)0 Total impact
Article: Shape similarity computation for SVG[Show abstract] [Hide abstract]
ABSTRACT: Using images instead of keywords as query input to search image resources is more practical and convenient in some cases. To this end, one of the key issues is the image similarity computation. This paper focuses the shape similarity computation of graphics represented by SVG which is the newest W3C standard for describing two-dimensional graphics on web. To the best of our knowledge, there are no effective algorithms for SVG-based shape similarity computation. This paper discusses the geometric features of SVG shapes and the effects of coordinate transformations on shapes in detail, and proposes similarity measuring metrics and methods for the similarity computation. The methods which have been verified through experiments solve the problem of misjudgement brought by transformation effects on the shapes, and the problem of contour comparison between different types of shapes.International Journal of Computational Science and Engineering. 07/2011; 6(1/2):105-113.
Conference Paper: Multi-resolution Mechanism for SVG[Show abstract] [Hide abstract]
ABSTRACT: Interest in scalable vector graphics (SVG) is increasing rapidly. Based on XML, SVG can be easily used on Web application. But the progressive transmission technology of SVG has still not been developed well. To address this, we propose a multi-resolution storage model, progressive transmission mechanism and along with some implementations for the SVG data. In the model, a SVG file is partitioned into several small files each of which belongs to either a profile file type or a detail file type. The loading of profiles are controlled by users, and the corresponding detail files can be progressively loaded and rendered automatically one by one according to the actual display size on the client side or as the userpsilas requests. Thus, the transmission of unnecessary data can be avoided in some cases. To verify the feasibility of the mechanism, primary results from comparison experiments between the multi-resolution method and the non multi-resolution method were provided.Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on; 08/2009
South China University of Technology
Guangzhou, Guangdong Sheng, China
- School of Software Engineering