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Artificial Intelligence Imagery Analysis Fostering Big Data Analytics

Author

Listed:
  • Stefan Cremer

    (Department of Media and Technology Management, University of Cologne, Pohligstr. 1, 50969 Cologne, Germany)

  • Claudia Loebbecke

    (Department of Media and Technology Management, University of Cologne, Pohligstr. 1, 50969 Cologne, Germany)

Abstract

In an era of accelerating digitization and advanced big data analytics, harnessing quality data and insights will enable innovative research methods and management approaches. Among others, Artificial Intelligence Imagery Analysis has recently emerged as a new method for analyzing the content of large amounts of pictorial data. In this paper, we provide background information and outline the application of Artificial Intelligence Imagery Analysis for analyzing the content of large amounts of pictorial data. We suggest that Artificial Intelligence Imagery Analysis constitutes a profound improvement over previous methods that have mostly relied on manual work by humans. In this paper, we discuss the applications of Artificial Intelligence Imagery Analysis for research and practice and provide an example of its use for research. In the case study, we employed Artificial Intelligence Imagery Analysis for decomposing and assessing thumbnail images in the context of marketing and media research and show how properly assessed and designed thumbnail images promote the consumption of online videos. We conclude the paper with a discussion on the potential of Artificial Intelligence Imagery Analysis for research and practice across disciplines.

Suggested Citation

  • Stefan Cremer & Claudia Loebbecke, 2019. "Artificial Intelligence Imagery Analysis Fostering Big Data Analytics," Future Internet, MDPI, vol. 11(8), pages 1-16, August.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:8:p:178-:d:257865
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    References listed on IDEAS

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    2. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
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    7. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
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