skip to main content
research-article

Intelligent workflows for visual stylometry

Published: 16 February 2018 Publication History

Abstract

Using Intelligent Workflows to Analyze Artistic Style
USC Information Sciences Institute (ISI) alumnus Ricky J. Sethi and his colleagues at Fitchburg State University in Massachusetts are using ISI's WINGS workflow system for art history in the WAIVS (Workflows for Analysis of Images and Visual Stylometry) project. WAIVS workflows were demonstrated at a workshop held at the Fitchburg Art Museum (FAM) in Spring, 2017.

Cited By

View all
  • (2022)New Method for Museum Archiving: “Quantitative Analysis Meets Art History”Journal on Computing and Cultural Heritage 10.1145/353101815:4(1-17)Online publication date: 26-Jul-2022

Recommendations

Comments

Information & Contributors

Information

Published In

cover image AI Matters
AI Matters  Volume 3, Issue 4
Winter 2018
62 pages
EISSN:2372-3483
DOI:10.1145/3187010
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 February 2018
Published in SIGAI-AIMATTERS Volume 3, Issue 4

Check for updates

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)0
Reflects downloads up to 18 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2022)New Method for Museum Archiving: “Quantitative Analysis Meets Art History”Journal on Computing and Cultural Heritage 10.1145/353101815:4(1-17)Online publication date: 26-Jul-2022

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media