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Machine Gaze on Women: How Everyday Machine-Vision-Technologies See Women in Films

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Female Agencies and Subjectivities in Film and Television

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Abstract

Machine vision algorithms play a significant role in managing the traffic of images and influencing the opinions and behavior of people in everyday life by ranking, filtering, predicting, deciding, censoring, recognizing and generating images. The tools employing specifically designed machine vision algorithms are also being used to analyze gender perspective in films. The results are effective for policymaking and creating awareness for gender imbalance in film culture. Machine vision systems provide new ways to study moving images Adopting an experimental approach, this chapter looks at women images in films through commercially available machine vision systems and discuss whether we can also learn about machine ways of seeing by looking at films through these systems.

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Authors and Affiliations

  1. Department of Transmedia, Digital Art and Animation, School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough, UK

    Diğdem Sezen

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  1. Diğdem Sezen
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Editors and Affiliations

  1. Department of Transmedia, Digital Art and Animation, School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough, UK

    Diğdem Sezen

  2. Department of Cinema, Istanbul Bilgi University, Istanbul, Turkey

    Feride Çiçekoğlu

  3. Department of Media, Istanbul Bilgi University, Istanbul, Turkey

    Aslı Tunç  & Ebru Thwaites Diken  & 

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Sezen, D. (2020). Machine Gaze on Women: How Everyday Machine-Vision-Technologies See Women in Films. In: Sezen, D., Çiçekoğlu, F., Tunç, A., Thwaites Diken, E. (eds) Female Agencies and Subjectivities in Film and Television. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-56100-0_15

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