Query by Visual Words: Visual Search for Scatter Plot Visualizations
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Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Finding interesting views in large collections of data visualizations, e.g., scatter plots, is challenging. Recently, ranking views based on heuristic quality measures has been proposed. However, quality measures may fail to reflect given user interest, since interestingness is strongly dependent on the application domain and user context. As an alternative, interactive exploration in combination with example based user queries can be used to find patterns of interest. We introduce a novel approach for searching in large sets of scatter plot views based on a dictionary of frequent local scatter plot patterns. The dictionary is used for interactive construction of scatter plot queries, taking into account similarity of local scatter plot patterns as well as their approximate location in the plot. We introduce the overall approach, present a glyph design for visualization of dictionary entries, and illustrate the applicability of our implementation.
Description
@inproceedings{10.2312:eurp.20161137,
booktitle = {EuroVis 2016 - Posters},
editor = {Tobias Isenberg and Filip Sadlo},
title = {{Query by Visual Words: Visual Search for Scatter Plot Visualizations}},
author = {Shao, Lin and Schleicher, Timo and Schreck, Tobias},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {-},
ISBN = {978-3-03868-015-4},
DOI = {10.2312/eurp.20161137}
}