short-paper

artVIS: an interactive visualization for painting collections

Authors:

Benjamin WeinertAuthors Info & Claims

VINCI '17: Proceedings of the 10th International Symposium on Visual Information Communication and Interaction

Pages 109 - 112

https://doi.org/10.1145/3105971.3105989

Published: 14 August 2017 Publication History

Abstract

Painting galleries typically provide a wealth of data composed of several data types. Those multivariate data are too complex for laymen like museum visitors to first, get an overview about all paintings and to look for specific categories. Finally, the goal is to guide the visitor to a specific painting that he wishes to have a more closer look on. In this paper we describe an interactive visualization tool that first provides such an overview and lets people experiment with the more than 41,000 paintings collected in the web gallery of art. To generate such an interactive tool, our technique is composed of different steps like data handling, algorithmic transformations, visualizations, interactions, and the human user working with the tool with the goal to detect insights in the provided data. We illustrate the usefulness of the visualization tool by applying it to such characteristic data and show how one can get from an overview about all paintings to specific paintings.

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Cited By

Pfluger HThom DSchutz ABohde DErtl T(2020)VeCHArt: Visually Enhanced Comparison of Historic Art Using an Automated Line-Based Synchronization TechniqueIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2019.290816626:10(3063-3076)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TVCG.2019.2908166
Windhager FFederico PSchreder GGlinka KDork MMiksch SMayr E(2019)Visualization of Cultural Heritage Collection Data: State of the Art and Future ChallengesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.283075925:6(2311-2330)Online publication date: 1-Jun-2019
https://doi.org/10.1109/TVCG.2018.2830759

Index Terms

artVIS: an interactive visualization for painting collections
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Information visualization

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Published In

cover image ACM Other conferences

VINCI '17: Proceedings of the 10th International Symposium on Visual Information Communication and Interaction

August 2017

158 pages

ISBN:9781450352925

DOI:10.1145/3105971

General Chair:
Robert P. Biuk-Aghai
University of Macau, Macau
,
Program Chairs:
Jie Li
Tianjin University, China
,
Shigeo Takahashi
University of Aizu, Japan

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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KMUTT: King Mongkut's University of Technology Thonburi

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Association for Computing Machinery

New York, NY, United States

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Published: 14 August 2017

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VINCI '17

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KMUTT

VINCI '17: 10th International Symposium on Visual Information Communication and Interaction

August 14 - 16, 2017

Bangkok, Thailand

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VINCI '17 Paper Acceptance Rate 12 of 27 submissions, 44%;

Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

Pfluger HThom DSchutz ABohde DErtl T(2020)VeCHArt: Visually Enhanced Comparison of Historic Art Using an Automated Line-Based Synchronization TechniqueIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2019.290816626:10(3063-3076)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TVCG.2019.2908166
Windhager FFederico PSchreder GGlinka KDork MMiksch SMayr E(2019)Visualization of Cultural Heritage Collection Data: State of the Art and Future ChallengesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.283075925:6(2311-2330)Online publication date: 1-Jun-2019
https://doi.org/10.1109/TVCG.2018.2830759

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