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Authors: Po-Shen Lee and Bill Howe

Affiliation: University of Washington, United States

ISBN: 978-989-758-077-2

ISSN: 2184-4313

Keyword(s): Visualization, Multi-chart Figure, Chart Segmentation, Chart Recognition and Understanding, Scientific Literature Retrieval, Content-based Image Retrieval.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Pattern Recognition

Abstract: We are analyzing the visualizations in the scientific literature to enhance search services, detect plagiarism, and study bibliometrics. An immediate problem is the ubiquitous use of multi-part figures: single images with multiple embedded sub-visualizations. Such figures account for approximately 35% of the figures in the scientific literature. Conventional image segmentation techniques and other existing approaches have been shown to be ineffective for parsing visualizations. We propose an algorithm to automatically segment multi-chart visualizations into a set of single-chart visualizations, thereby enabling downstream analysis. Our approach first splits an image into fragments based on background color and layout patterns. An SVM-based binary classifier then distinguishes complete charts from auxiliary fragments such as labels, ticks, and legends, achieving an average 98.1% accuracy. Next, we recursively merge fragments to reconstruct complete visualizations, choosing bet ween alternative merge trees using a novel scoring function. To evaluate our approach, we used 261 scientific multi-chart figures randomly selected from the Pubmed database. Our algorithm achieves 80% recall and 85% precision of perfect extractions for the common case of eight or fewer sub-figures per figure. Further, even imperfect extractions are shown to be sufficient for most chart classification and reasoning tasks associated with bibliometrics and academic search applications. (More)


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Paper citation in several formats:
Lee, P. and Howe, B. (2015). Dismantling Composite Visualizations in the Scientific Literature.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, ISSN 2184-4313, pages 79-91. DOI: 10.5220/0005213100790091

author={Po{-}Shen Lee. and Bill Howe.},
title={Dismantling Composite Visualizations in the Scientific Literature},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},


JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Dismantling Composite Visualizations in the Scientific Literature
SN - 978-989-758-077-2
AU - Lee, P.
AU - Howe, B.
PY - 2015
SP - 79
EP - 91
DO - 10.5220/0005213100790091

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