MOVIE: Large scale automated analysis of MOVing ImagEs

Virginia Kuhn, Michael Simeone, Luigi Marini, Dave Bock, Alan B. Craig, Liana Diesendruck, Sandeep Puthanveetil Satheesan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper we describe our efforts at establishing a software workbench for video analysis, annotation, and visualization, using both current and experimental discovery methods. This project builds upon our previous research with video and image analysis, and joins the emergent field of cultural analytics in the digital humanities. Moving image media is particularly ripe for computational analysis given its increasing ubiquity in contemporary culture. Hoping to make video more legible as a big data format, we employ visual media in the public domain and we focus on crowd-sourced annotation, aural and visual analysis and visualization of extracted image data. Our goal is to fill in existing gaps for asking cultural questions about video archives using computers, we also experiment with transformative methods in video research and analysis. Our long term goal is to allow researchers to move with agility from textual description and collection management, to manual inspection, to automated analysis, to visualization of discrete films as well as whole collections.

Original languageEnglish (US)
Title of host publicationProceedings of the XSEDE 2014 Conference
Subtitle of host publicationEngaging Communities
PublisherAssociation for Computing Machinery
ISBN (Print)9781450328937
DOIs
StatePublished - Jan 1 2014
Event2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 - Atlanta, GA, United States
Duration: Jul 13 2014Jul 18 2014

Publication series

NameACM International Conference Proceeding Series

Other

Other2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014
CountryUnited States
CityAtlanta, GA
Period7/13/147/18/14

Keywords

  • Database
  • Digital humanities
  • Interactive analysis
  • Video analytics

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Kuhn, V., Simeone, M., Marini, L., Bock, D., Craig, A. B., Diesendruck, L., & Satheesan, S. P. (2014). MOVIE: Large scale automated analysis of MOVing ImagEs. In Proceedings of the XSEDE 2014 Conference: Engaging Communities [21] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2616498.2616529