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MOVIE: Large Scale Automated Analysis of MOVing ImagEs

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Sandeep Puthanveetil SatheesanAuthors Info & Claims

XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment

Article No.: 21, Pages 1 - 3

https://doi.org/10.1145/2616498.2616529

Published: 13 July 2014 Publication History

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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.

References

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Ralske, Kurt. On Cultural Analytics. http://retnull.com/index.php?/on-cultural-analytics/

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ImagePlot: http://lab.softwarestudies.com/2011/09/introducing-imageplot-software-explore.html

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Cinemetrics: Film Data Visualization: http://cinemetrics.fredericbrodbeck.de/

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ANVIL: The Video Annotation Research Tool: http://www.anvil-software.org/

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ELAN: A Tool for the Creation of Complex Annotations on Video and Audio Resources: http://tla.mpi.nl/tools/tla-tools/elan/

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"Image Retrieval: Ideas, Influences, and Trends of the New Age" (ACM Vol 40, no2 April 2008)

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Semantic Metadata: http://www.semanticmetadata.net/lire/

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Medici multimedia content management system: http://medici.ncsa.illinois.edu/

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Internet Archive, Cultural and Academic Films collection: http://archive.org/details/culturalandacademicfilms

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Savvas A. Chatzichristofis and Yiannis S. Boutalis. 2008. CEDD: color and edge directivity descriptor: a compact descriptor for image indexing and retrieval. In Proceedings of the 6th international conference on Computer vision systems (ICVS'08), Antonios Gasteratos, Markus Vincze, and John K. Tsotsos (Eds.). Springer-Verlag, Berlin, Heidelberg, 312--322.

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Manovich, Lev. "Visualizing Vertov." 2013. Software Studies.http://softwarestudies.com/cultural_analytics/Manovich.Visualizing_Vertov.2013.pdf

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Cited By

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Craig APeterson G(2015)Science gateways for humanities, arts, and social scienceProceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure10.1145/2792745.2792763(1-3)Online publication date: 26-Jul-2015
https://dl.acm.org/doi/10.1145/2792745.2792763

Index Terms

MOVIE: Large Scale Automated Analysis of MOVing ImagEs
1. Applied computing
  1. Arts and humanities
    1. Fine arts
    2. Performing arts
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Video summarization

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Published In

XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment

July 2014

445 pages

ISBN:9781450328937

DOI:10.1145/2616498

General Chair:
Scott Lathrop
National Center for Supercomputing Applications
,
Program Chair:
Jay Alameda
National Center for Supercomputing Applications

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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NSF: National Science Foundation
Drexel University
Indiana University: Indiana University

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Association for Computing Machinery

New York, NY, United States

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Published: 13 July 2014

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XSEDE '14

XSEDE '14: Annual Conference of the Extreme Science and Engineering Discovery Environment

July 13 - 18, 2014

GA, Atlanta, USA

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XSEDE '14 Paper Acceptance Rate 80 of 120 submissions, 67%;

Overall Acceptance Rate 129 of 190 submissions, 68%

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Craig APeterson G(2015)Science gateways for humanities, arts, and social scienceProceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure10.1145/2792745.2792763(1-3)Online publication date: 26-Jul-2015
https://dl.acm.org/doi/10.1145/2792745.2792763

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The VAT: enhanced video analysis

Cultural Heritage Cube. A Conceptual Framework for Visual Exhibition Exploration

Digital editions and diplomatic diagrams

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