kittyray
01-07-2022, 09:07 PM
I stumbled across this the other day and I've been wanting to share it with people. This guy named Lev Manovich used one million (yes, million) pages from various Manga that had been scanned and translated online. It used pages from over 800 series, and over 1,000,000 unique pages. It used machine learning to analyze and categorize the images based on things like level of detail and amount of contrast, and charted them along two axes, with the most textural (high detail, high contrast) being in the top right.
[Only registered and activated users can see links]
Here's a writeup on it:
[Only registered and activated users can see links]
In the Fall 2009, we have downloaded 883 Manga series containing 1,074,790 unique pages from this site. We then used our custom software system running on a supercomputer at National Department of Energy Research Center (NERSC) to analyze visual features of these pages (funded by Humanities High Performance Award from NEH Digital Humanities Office.) To match the scale of the data, we are using 287 megapixel The Highly Interactive Parallelized Display Space (HIPerSpace) with a a custom software for interactive exploration of large image sets developed between our lab (softwarestudies.com) and Gravity lab at Calit2.
Visualization below shows our complete data set - 1 million Manga pages organized in 2D space according to their visual characteristics. The pages in the bottom part of the visualization are the most graphic (they have the least amount of detail). The pages in the upper right have lots of detail and texture. The pages with the highest contrast are on the right, while pages with the least contrast are on the left. In between these four extremes, we find every possible stylistic variation.
[Only registered and activated users can see links]
and high-res images from the project (altho the final graph seems to not be online in full resolution due to sheer size), plus some other cool charts and graphs and shit!
[Only registered and activated users can see links]
The person behind it:
[Only registered and activated users can see links]
Posted some pictures here because I know it will get people reading, but out of respect for the sheer effort that went into this, I don't want to repost too many here and encourage you to take a look at those links, especially the flickr if you wanna see cool stuff but don't feel like reading!
[Only registered and activated users can see links]
Here's a writeup on it:
[Only registered and activated users can see links]
In the Fall 2009, we have downloaded 883 Manga series containing 1,074,790 unique pages from this site. We then used our custom software system running on a supercomputer at National Department of Energy Research Center (NERSC) to analyze visual features of these pages (funded by Humanities High Performance Award from NEH Digital Humanities Office.) To match the scale of the data, we are using 287 megapixel The Highly Interactive Parallelized Display Space (HIPerSpace) with a a custom software for interactive exploration of large image sets developed between our lab (softwarestudies.com) and Gravity lab at Calit2.
Visualization below shows our complete data set - 1 million Manga pages organized in 2D space according to their visual characteristics. The pages in the bottom part of the visualization are the most graphic (they have the least amount of detail). The pages in the upper right have lots of detail and texture. The pages with the highest contrast are on the right, while pages with the least contrast are on the left. In between these four extremes, we find every possible stylistic variation.
[Only registered and activated users can see links]
and high-res images from the project (altho the final graph seems to not be online in full resolution due to sheer size), plus some other cool charts and graphs and shit!
[Only registered and activated users can see links]
The person behind it:
[Only registered and activated users can see links]
Posted some pictures here because I know it will get people reading, but out of respect for the sheer effort that went into this, I don't want to repost too many here and encourage you to take a look at those links, especially the flickr if you wanna see cool stuff but don't feel like reading!