مشخصات کتاب

Distant Viewing. Computational Exploration of Digital Images

ویرایش:  
نویسندگان: Taylor Arnold. Lauren Tilton  
سری:  
ISBN (شابک) : 9780262546133, 9780262375160 
ناشر: The MIT Press 
سال نشر: 2023 
تعداد صفحات: 287 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 40 Mb 

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توضیحاتی در مورد کتاب مشاهده از راه دور. کاوش محاسباتی تصاویر دیجیتال



توضیحاتی درمورد کتاب به خارجی

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.

فهرست مطالب

Contents
Acknowledgments
Introduction
1. Distant Viewing: Theory
	Meaning Making through Images
	Working with Digital Images
	Computational Exploration with Computer Vision
	Decoding through Viewing
	Conclusions
2. Distant Viewing: Method
	Annotate: Create Data with Computer Vision
	Organize: Aggregate Annotations and Combine with Metadata
	Explore: Understand Data and Address Areas of Inquiry
	Communicate: Present Results and Share Data
	Conclusions
3. Advertising in Color: Movie Posters and Genre
	Annotating Color
	Organizing the Movie Poster Corpus
	Exploring Trends over Time
	Exploring Movie Poster Genres
	Exploring Dominant Colors
	Exploring Color Combinations
	Conclusions
4. Seeing Is Believing: Themes in Great Depression and World War II Photography
	Annotating Image Segmentation
	Organizing the FSA-OWI Photographic Collection
	Exploring Themes across The File
	Exploring Photographers’ Style
	Exploring the Breadth of the Collection
	Conclusions
5. Feast for the Eyes: Locating Visual Style in Network-Era American Situation Comedies
	Annotating Shot Boundaries
	Annotating Faces
	Organizing the Bewitched and I Dream of Jeannie Corpus
	Exploring Dominant Characters
	Exploring Shot Distribution and Plot
	Exploring Character Pairs
	Exploring Magical and Feminine Gazes
	Conclusions
6. Opening the Archive: Visual Search and Discovery of the Met’s Open Access Program
	Annotating Image Embeddings
	Organizing the Met’s Open Access Collection
	Exploring Image Recommendation Systems
	Exploring the Full Public-Domain Corpus
	Communicating through a Digital Public Interface
	Conclusions
Conclusion
Glossary
Notes
	Introduction
	Chapter 1
	Chapter 2
	Chapter 3
	Chapter 4
	Chapter 5
	Chapter 6
	Conclusion
Bibliography
Datasets
Index

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