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Cinema and Machine Vision: Artificial Intelligence, Aesthetics and Spectatorship [Kietas viršelis]

  • Formatas: Hardback, 224 pages, aukštis x plotis: 234x156 mm, 37 colour illustrations, 2 black and white tables
  • Išleidimo metai: 31-May-2024
  • Leidėjas: Edinburgh University Press
  • ISBN-10: 1399514717
  • ISBN-13: 9781399514712
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 224 pages, aukštis x plotis: 234x156 mm, 37 colour illustrations, 2 black and white tables
  • Išleidimo metai: 31-May-2024
  • Leidėjas: Edinburgh University Press
  • ISBN-10: 1399514717
  • ISBN-13: 9781399514712
Kitos knygos pagal šią temą:
Brings together Film Studies and Artificial Intelligence by exploring their mutual interest in the automation of vision through technology

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.

Table of Figures

Tables

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

Table of Figures; Tables; Acknowledgements; Introduction; Part I: Data-Images: Philosophy of Photography and Technologies of Vision;
1. Between Archive and Dataset;
2. Inductive Vision;
3. Machine Learning and the Philosophy of Photography; Part II: Pixels in Motion: The Calculation of Cinematic Time;
4. Statistical Distance and Emotional Closeness in Film Style;
5. Computational Analysis of Continuity Editing;
6. Duration, Motion, and Pixels; Part III: AI and Criticism: Aesthetics, Formats, and Interactions;
7. Algorithmic Films as Data Analysis;
8. Aesthetic Judgements and Meaningful Dissensus;
9. AI as Media; Conclusion: Machines made of Images; References