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
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
Searching an Engineering Drawing Database for User-Specified Shapes
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Tuning a CBIR system for vector images: the interface support
Proceedings of the working conference on Advanced visual interfaces
Retrieval of On-line Hand-Drawn Sketches
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Hierarchical matching for retrieval of hand-drawn sketches
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Structure-oriented contour representation and matching for engineering shapes
Computer-Aided Design
Geometric matching for clip-art drawing retrieval
Journal of Visual Communication and Image Representation
On visual similarity based 2D drawing retrieval
Computer-Aided Design
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
A performance evaluation of gradient field HOG descriptor for sketch based image retrieval
Computer Vision and Image Understanding
A comparison of methods for sketch-based 3D shape retrieval
Computer Vision and Image Understanding
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Currently, there are large collections of drawings from which users can select the desired ones to insert in their documents. However, to locate a particular drawing among thousands is not easy. In our prior work we proposed an approach to index and retrieve vector drawings by content, using topological and geometric information automatically extracted from figures. In this paper, we present a new approach to enrich the topological information by integrating spatial proximity in the topology graph, through the use of weights in adjacency links. Additionally, we developed a web search engine for clip art drawings, where we included the new technique. Experimental evaluation reveals that the use of topological proximity results in better retrieval results than topology alone. However, the increase in precision was not as high as we expected. To understand why, we analyzed sketched queries performed by users in previous experimental sessions and we present here the achieved conclusions.