Description
A new theory and methodology for the application of computer vision methods to the computational analysis of collected, digitized visual materials, called “distant viewing.”
Distant Viewing: Computational Exploration of Digital Images presents a new theory and methodology for the computational analysis of digital images, offering a lively, constructive critique of computer vision that you can actually use. What does it mean to say that computer vision “understands” visual inputs? Annotations never capture a whole image. The way digital images convey information requires what researchers Taylor Arnold and Lauren Tilton call “distant viewing”—a play on the well-known term “distant reading” from computational literary analysis.
Recognizing computer vision’s limitations, Arnold and Tilton’s spirited examination makes the technical exciting by applying distant viewing to the sitcoms Bewitched and I Dream of Jeannie, movie posters and other popular forms of advertising, and Dorothea Lange’s photography. In the tradition of visual culture studies and computer vision, Distant Viewing’s interdisciplinary perspective encompasses film and media studies, visual semiotics, and the sciences to create a playful, accessible guide for an international audience working in digital humanities, data science, media studies, and visual culture studies.
Table of Contents
Acknowledgments vii
Introduction 1
1 Distant Viewing: Theory 9
2 Distant Viewing: Method 33
3 Advertising in Color: Movie Posters and Genre 57
4 Seeing is Believing: Themes in Great Depression and World War II Photography 97
5 Feast for the Eyes: Locating Visual Style in Network-Era American Situation Comedies 145
6 Opening the Archive: Visual Search and Discovery of the Met's Open Access Program 177
Conclusion 221
Glossary 225
Notes 227
Bibliography 249
Datasets 265
Index 269
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