Earmarked for Collision: A Highly Biased Tour of Collage Animation

Автор: literator от 10-05-2023, 06:04, Коментариев: 0

Категория: КНИГИ » ГРАФИКА И ФОТОШОП

Earmarked for Collision: A Highly Biased Tour of Collage AnimationНазвание: Earmarked for Collision: A Highly Biased Tour of Collage Animation
Автор: Chris Robinson
Издательство: CRC Press
Год: 2024
Страниц: 145
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Collage art and film date back to the early 20th century (the earliest collages have roots in 12th-century Japan). It was rooted in the age of consumerism where artists addressed an array of political and social issues by creating a carefully crafted collision of pre-existing images and sounds to generate new meanings and commentaries on the surrounding world.

Collage has also pushed the boundaries of animation, by incorporating other artistic forms (e.g., photography, live action, experimental cinema, literature, found sound) while exploring an array of social, cultural and political issues.

In Earmarked for Collision, award-winning writer Chris Robinson (The Animation Pimp, Mad Eyed Misfits, Unsung Heroes of Animation) takes us on a tour of the history of collage animation, cataloguing the collage works of notable artists like Larry Jordan, Harry Smith, Stan Vanderbeek, Terry Gilliam, Janie Geiser, Martha Colburn, Lewis Klahr, Run Wrake, Lei Lei, Kelly Sears, Jodie Mack, and many, many others.

The photomontage is closest to what I’m exploring in this book. This approach involves multiple photos (or illustrations) cut or torn apart and united into a new image. And we can go on and on. There’s compositing (a digital tool where multiple photos are combined to make a single picture) and digital collage (using your computer mouse to cut and paste along with assorted software, like Photoshop). And there are deep fake videos, memes, and gifs, which all use some elements of collage.

Collage is ubiquitous these days. With the rise of digital technology and software tools like good ol’ photoshop, mixing and matching imagery has become a standard. Every day we’ve got memes, deep fakes, AI, and altered images.

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