Relating metrics, lines and variables defined on graphs to problems in medicinal chemistry
Graph theory with applications to algorithms and computer science
A formal definition of binary topological relationships
3rd International Conference, FODO 1989 on Foundations of Data Organization and Algorithms
Image collections in the design studio
The electronic design studio
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
Multidimensional access methods
ACM Computing Surveys (CSUR)
A graph distance metric based on the maximal common subgraph
Pattern Recognition Letters
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
Representations, feature extraction, matching and relevance feedback for sketch retrieval
Representations, feature extraction, matching and relevance feedback for sketch retrieval
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
Calligraphic Interfaces: Classifier combination for sketch-based 3D part retrieval
Computers and Graphics
Structure-oriented contour representation and matching for engineering shapes
Computer-Aided Design
On visual similarity based 2D drawing retrieval
Computer-Aided Design
Morphology based spatial relationships between local primitives in line drawings
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A flexible assembly retrieval approach for model reuse
Computer-Aided Design
Document page retrieval based on geometric layout features
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
A performance evaluation of gradient field HOG descriptor for sketch based image retrieval
Computer Vision and Image Understanding
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Due to the proliferation of drafting packages, there are a lot of vector drawings available for people to integrate into documents. Moreover, creative designers and drafts-people often reuse data from previous projects and libraries of ready-to-use components. Usually, retrieving these drawings is a slow, complex and error-prone endeavor. While text-driven attempts at classifying image data have been recently supplemented with query-by-image content, these work only for bitmap-type data and cannot handle vectorial information. Furthermore, they are not very good at retrieving partial information, which makes it difficult to search complex documents. Here we present a new approach to allow efficient retrieval of complex vector drawings by content using simple sketches as queries. Our work uses a new hierarchical topology description mechanism, which allows comparing complex drawings to simple queries. In particular, we produce a multilevel description of drawings, from the topology graph, using different levels of detail and subparts of the information. We also show that the graph spectrum is stable and reliable for use as a topology description. Finally, experimental tests show that our approach is good at retrieving complex drawings from two different application domains, CAD and clip-art figures.