Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
The visual display of quantitative information
The visual display of quantitative information
Machine Learning
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visualizing Data
Polaris: A System for Query, Analysis, and Visualization of Multidimensional Relational Databases
IEEE Transactions on Visualization and Computer Graphics
Field Guide to Digital Color
Review of the State of the Art in Semantic Scene Classification
Review of the State of the Art in Semantic Scene Classification
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A system for understanding imaged infographics and its applications
Proceedings of the 2007 ACM symposium on Document engineering
Evaluating bag-of-visual-words representations in scene classification
Proceedings of the international workshop on Workshop on multimedia information retrieval
Extraction of Vectorized Graphical Information from Scientific Chart Images
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Protovis: A Graphical Toolkit for Visualization
IEEE Transactions on Visualization and Computer Graphics
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Recognition and classification of figures in PDF documents
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Semi-automatic ground truth generation for chart image recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Transmogrification: causal manipulation of visualizations
Proceedings of the 26th annual ACM symposium on User interface software and technology
Selecting semantically-resonant colors for data visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Poorly designed charts are prevalent in reports, magazines, books and on the Web. Most of these charts are only available as bitmap images; without access to the underlying data it is prohibitively difficult for viewers to create more effective visual representations. In response we present ReVision, a system that automatically redesigns visualizations to improve graphical perception. Given a bitmap image of a chart as input, ReVision applies computer vision and machine learning techniques to identify the chart type (e.g., pie chart, bar chart, scatterplot, etc.). It then extracts the graphical marks and infers the underlying data. Using a corpus of images drawn from the web, ReVision achieves image classification accuracy of 96% across ten chart categories. It also accurately extracts marks from 79% of bar charts and 62% of pie charts, and from these charts it successfully extracts data from 71% of bar charts and 64% of pie charts. ReVision then applies perceptually-based design principles to populate an interactive gallery of redesigned charts. With this interface, users can view alternative chart designs and retarget content to different visual styles.