Generative eBook Covers
nypl.org
nypl.org
http://bibliotique.net/images/080511-aa-1.jpg
http://www.dargate.com/cat/248_auction/248_images/1722.jpg
The difference is that there is some sense of trying to make them at least a little eye pleasing. Decent fonts, some pretty gold leaf designs.
This is not good enough http://i.imgur.com/YqjnSsF.png
Some kind of more clever generative art I think is called for. It should even have some kind of sensible themeing, like all books from the same author look kind of alike or something.
http://graywolfseo.com/wp-content/uploads/library-shelf.jpg
I'm not sure I like how the examples provided here look especially, but I think the idea is a good one.
http://sprachkreis-deutsch.ch/2013/06/30/reclam-verlag-folgt...
http://www.phantasienreisen.de/2012/02/19/reclam-klassiker-i...
Book wall: http://commons.wikimedia.org/wiki/File:Reclam_Universalbibli...
red: classics in their original foreign language
orange: bi-lingual books
blue: study guides
green: original historical sources with explanations
magenta: non-fiction (politics, history, society, natural sciences, art, music or religion)
@paulg
When I got rich I let myself buy nice editions of books. But I notice the books I read are mostly cheap paperbacks.
In an ideal world, the artist has to a) understand the book and b) create a cover that sums it up and c) produce an alternative version that isn't too heavy for the e-book.
The difference between e-book requirements and print are huge, and a few of the recent Penguin e-books I've bought all have the same cover (the Penguin logo) which looks to me like the editors just punted on the issue.
So I applaud this effort. The problem they are solving is much more difficult than it looks from the outside, and they are doing an impressive job even though the results may look less than ideal to some. Things like Project Gutenberg would be considerably enhanced if they had decent covers, and any scheme for auto-generating them that isn't positively awful [] would really help.
[] I've gotta say the first purely geometric covers in the article aren't quite my cup of tea.
Worth noting our effort is mostly a side project that supports the _real_ project which is the ebook reader app
I hereby coin the term "depressionism" - you heard it here first, folks!
102 degrees would have been more sensible, while providing sufficient contrast.
Using a different, more perceptually-based colour space would be even better.
https://github.com/mgiraldo/tenprintcover-p5
This other project has some interesting geometric explorations:
This also reminds me of the autogenerated covers on the (ridiculously overpriced) books containing only Wikipedia articles, which were equally generic-looking but still somewhat relevant (e.g. https://images.our-assets.com/fullcover/2000x/9786131724619.... , http://www.amazon.com/Aisle-Frederic-P-Miller/dp/B009CKDZII/ )
Of course, I think the saying "Don't judge an eBook by its cover" also applies...
If no cover is available, I would much prefer a simple text label.
When I do find such a book, I waste no time in stripping off the cover.
Putting a fake cover on an old book is akin to vandalism.
might be a good start. These are images auto-extracted from public domain books at the Internet Archive.
Also similar, this set of famous theoretical physics books: http://2.bp.blogspot.com/-sj0HK_o3hD0/TlhDu7sl_FI/AAAAAAAAAh...
Is there software which models the human perceptual system, e.g. algorithms that have been trained on fanous art?
Related: http://thecreatorsproject.vice.com/blog/an-intelligent-algor...
"For their research, the team chose 1,700 paintings by 66 artists, covering the 15th to the late 20th century. Using a technique that analyzes visual concepts called "classemes"—wherein objects, color shades, subjects' movement, and more are marked—the researchers created a list of 3,000 classemes for each painting, data which The Physics arXiv Blog compares to a vector. Then, they used an artificially intelligent algorithm to evaluate the vectors and look for similarities or overlapping qualities among the 1,700 paintings. ArXiv adds, "To create a ground truth against which to measure their results, they also collate expert opinions on which these artists have influenced the others."
Character name detection is pretty easy
Gender detection for the characters depends on the year of the book, but is possible with reasonable accuracy (although one would need to be careful of translations).
Key scene detection in text isn't something I know much about. I've read some research on recognising emotion in text, and it might be possible to use something like that on a rolling basis to find the most important parts of the book.
Using that information to create an illustration... would be challenging.
I can imagine algorithms to draw the character by extracting descriptions from the book. Putting them into the context described by some key scene would have a few additional problems.
For ebooks with images [Gutenberg]: https://github.com/mgiraldo/tenprintcover-p5