VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
ExSight: Highly Accurate Object Based Image Retrieval System Enhanced by Redundant Object Extraction
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
Video as an image data source: efficient representations and applications
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Similarity measurement for aggregation of spatial objects
Proceedings of the 2005 ACM symposium on Applied computing
Vector Image Segmentation for Content-Based Vector Image Retrieval
CIT '07 Proceedings of the 7th IEEE International Conference on Computer and Information Technology
Indexing pictorial documents by their content: a survey of current techniques
Image and Vision Computing
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This paper describes a novel method extracting editing differences between pairs of SVG graphics documents. These differences are extracted based on the analysis of the tree structure of SVG, and are generalized in order to abstract from the specifics of targets and document structure. The generalized differences can then be applied to other SVG graphics, resulting in new, heretofore unavailable graphics. We show the effectiveness of our method with experiments involving a variety of SVG documents.