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Distant Viewing: Computational Exploration of Digital Images [9780262546133]

Paperback
SKU: 9780262546133
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Format Lightweight and affordable. Perfect for student groups and classrooms, and a versatile option for corporate trainings, team reads, or large-scale events.

Price $45.00

Total for 25 copies:

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Overview

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.

The book, Distant Viewing: Computational Exploration of Digital Images [Bulk, Wholesale, Quantity] ISBN#9780262546133 in Paperback by Taylor Arnold, Lauren Tilton may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Taylor Arnold Lauren Tilton
Format:
Paperback
Publication Date:
10/17/2023
ISBN-10:
0262546132
ISBN-13:
9780262546133
Pages:
288
Publisher:
MIT Press

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