[Commlist] New book: Cinema and Machine Vision

New publication

In his new book, Cinema and Machine Vision: Artificial Intelligence, 
Aesthetics and Spectatorship, Dr Daniel Chávez Heras unfolds the 
aesthetic, epistemic, and ideological dimensions of machine-seeing films 
and television using computers. Through its critical-technical approach, 
this book presents to the reader key new problems that arise as AI 
becomes integral to visual culture, theorising machine vision through a 
selection of aesthetics, film theory, and applied machine learning 
research. Cinema and Machine Vision dispels widely held assumptions 
about computer systems designed to watch and make images on our behalf. 
Key aspects of the book:

Theorises and critiques computational methods in the analysis of film 
and television
Revisits key theories of the moving image and photography in the light 
of contemporary developments in AI and computer vision technologies
Contributes to debates concerning early cinema, experimental cinema, and 
use of moving image archives, through critical-technical practices
Theorises the emergence of synthetic media and generative approaches in 
computational humanities

Table of Contents

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

Endorsements

"Cinema and machine vision rescaled the world, from cell to pixel, 
detail to data. Daniel　Chavez Heras shows us the parallel and diverging 
ways they have become worldmaking. A wonderful and necessary book that 
starts the story of AI where it should be started: in much earlier 
technical imaging practices of cinema."
– Professor Jussi Parikka, Aarhus University

"This ambitious and imaginative book explores how we can teach machines 
to watch films without taking away from our human pleasure of doing so. 
Equally well versed in the technical discourse of computer vision and 
the cultural theory of visuality, Daniel Chávez Heras issues an 
invitation to us all to envisage new ways of seeing and making with AI."
– Professor Joanna Zylinska, King’s College London

Getting the book

Pre order now directly from the publisher for a 30% discount. Use the 
code NEW30

Launch event

Join the author in conversation with critic and journalist Will DiGravio 
for a launch event and podcast recording in front of a live audience. 
May 22, 7pm. Attendance is free but registration required. Register 
here:https://www.kcl.ac.uk/events/cinema-and-machine-vision

About the author

Daniel Chávez Heras is a Lecturer in Digital Culture and Creative 
Computing at King’s College London. He specialises on the computational 
production and analysis of visual culture combining critical frameworks 
in the history and theories of cinema, television, and photography, with 
advanced technical practice in creative and scientific computing, 
including applied machine learning technologies.

Contact details: https://movingpixel.net/

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