Parsing adjacency grammars for calligraphic interfaces
Parsing adjacency grammars for calligraphic interfaces
S3: similarity search in CAD database systems
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Demonstrating the electronic cocktail napkin: a paper-like interface for early design
Conference Companion on Human Factors in Computing Systems
A new approach to similarity retrieval of 2-D graphic objects based on dominant shapes
Pattern Recognition Letters
Experimental evaluation of an on-line scribble recognizer
Pattern Recognition Letters
Reasoning about Gradual Changes of Topological Relationships
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Indexing High-Dimensional Data for Content-Based Retrieval in Large Databases
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Hierarchical matching for retrieval of hand-drawn sketches
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Magic canvas: interactive design of a 3-D scene prototype from freehand sketches
GI '07 Proceedings of Graphics Interface 2007
Query-by-Sketch Based Image Synthesis
IEICE - Transactions on Information and Systems
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
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These days there are a lot of vector drawings available for people to integrate into documents. These come in a variety of formats, such as Corel, Postscript, CGM, WMF and recently SVG. Typically, such ClipArt drawings tend to be archieved and accessed by categories (e.g. food, shapes, transportation, etc.). However, to find a drawing among hundreds of thousands is not an easy task. While text-driven attempts at classifying image data have been recently supplemented with query-by-image content, these have been developed for bitmap-type data and cannot handle vectorial information. In this paper we present an approach to allow indexing and retrieving vector drawings by content from large datasets. Our prototype can already handle databases with thousands of drawings using commodity hardware. Furthermore, preliminary usability assessments show promising results and suggest good acceptance of sketching as a query mechanism by users.