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Full Description
Cinema and Machine Vision unfolds the aesthetic, epistemic, and ideological dimensions of machine-seeing films and television using computers. With its critical-technical approach, this book presents to the reader key new problems that arise as AI becomes integral to visual culture. It theorises machine vision through a selection of aesthetics, film theory, and applied machine learning research, dispelling widely held assumptions about computer systems designed to watch and make images on our behalf.At its heart, Cinema and Machine Vision is an invitation for film and media scholars to critically engage with AI at a technical level, a prompt for scientists and engineers working with images and cultural data to critically reflect on where their assumptions about vision come from, and a joint recognition of the fruitful problems of working together to understand the algorithmic governance of the visual.
Contents
List of Illustrations
Acknowledgements
Introduction
Part One: Data-Images: Philosophy of Photography and Technologies of Vision
Chapter 1. Between Archive and Dataset
Chapter 2. Inductive Vision
Chapter 3. Machine Learning and the Philosophy of Photography
Part Two: Pixels in Motion: The Calculation of Cinematic Time
Chapter 4. Statistical Distance and Emotional Closeness in Film Style
Chapter 5. Computational Analysis of Continuity Editing
Chapter 6. Duration, Motion, and Pixels
Part Three: AI and Criticism: Aesthetics, Formats, and Interactions
Chapter 7. Algorithmic Films as Data Analysis
Chapter 8. Aesthetic Judgements and Meaningful Dissensus
Chapter 9. AI as Media
Conclusion: Machines Made of Images
References
Index
