Machine Vision
eBook - ePub

Machine Vision

How Algorithms are Changing the Way We See the World

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Machine Vision

How Algorithms are Changing the Way We See the World

About this book

Humans have used technology to expand our limited vision for millennia, from the invention of the stone mirror 8, 000 years ago to the latest developments in facial recognition and augmented reality. We imagine that technologies will allow us to see more, to see differently and even to see everything. But each of these new ways of seeing carries its own blind spots.

In this illuminating book, Jill Walker Rettberg examines the long history of machine vision. Providing an overview of the historical and contemporary uses of machine vision, she unpacks how technologies such as smart surveillance cameras and TikTok filters are changing the way we see the world and one another. By analysing fictional and real-world examples, including art, video games and science fiction, the book shows how machine vision can have very different cultural impacts, fostering both sympathy and community as well as anxiety and fear.

Combining ethnographic and critical media studies approaches alongside personal reflections, Machine Vision is an engaging and eye-opening read. It is suitable for students and scholars of digital media studies, science and technology studies, visual studies, digital art and science fiction, as well as for general readers interested in the impact of new technologies on society.

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Yes, you can access Machine Vision by Jill Walker Rettberg in PDF and/or ePUB format, as well as other popular books in Social Sciences & Media Studies. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Acknowledgements
  5. Introduction
  6. 1 Seeing More: Histories of Augmenting Human Vision
  7. 2 Seeing Differently: Exploring Non-human Vision
  8. 3 Seeing Everything: Surveillance and the Desire for Objectivity and Security
  9. 4 Being Seen: The Algorithmic Gaze
  10. 5 Seeing Less: The Blind Spots of Machine Vision
  11. Conclusion: Hope
  12. References
  13. Index
  14. End User License Agreement