Cinema and Machine Vision: Artificial Intelligence, Aesthetics and Spectatorship
by 作者: Daniel Chávez Heras (Author)
Publisher Finelybook 出版社: Edinburgh University Press
Edition 版本: 1st
Publication Date 出版日期: 2024-05-31
Language 语言: English
Pages 页数: 224 pages
ISBN-10 书号: 1399514717
ISBN-13 书号: 9781399514712
Book 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 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.
Review
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, author of Operational Images
From the Back Cover
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 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. Daniel Chávez Heras is a Lecturer in Digital Culture and Creative Computing at King’s College London.
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. Daniel has worked extensively in interdisciplinary design and creative industries, in Mexico and in the UK, with cultural institutions such as The British Council, and the BBC. He is a member of the Creative AI Lab, in partnership with the Serpentine Gallery, and part of the Computational Humanities Research Group at King’s College London.
