Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
Computer Vision, Graphics, and Image Processing
Image collections in the design studio
The electronic design studio
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Practical algorithms for image analysis: description, examples, and code
Practical algorithms for image analysis: description, examples, and code
Experimental evaluation of an on-line scribble recognizer
Pattern Recognition Letters
ACM Transactions on Graphics (TOG)
An Evaluation of Parallel Thinning Algorithms for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stable and Robust Vectorization: How to Make the Right Choices
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
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
Stable, Robust and Off-the-Shelf Methods for Graphics Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Hierarchical matching for retrieval of hand-drawn sketches
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Real-time line detection through an improved Hough transform voting scheme
Pattern Recognition
| Hi-index | 0.00 |
Current approaches to content-based retrieval of multimedia data usually rely either on query by example or on sketches of the desired image, but not on both. In this paper, we propose a new query specification scheme, where digital images are combined with sketches, after vectorization, taking advantage of both methods. We selected a set of algorithms to perform image vectorization, taking into account the trade-off between vector image quality and processing time. This method of specifying queries is part of a system to retrieve vector drawings, which we briefly describe in this paper.