Hacking Art History
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This document summarizes John Resig's process for hacking art history databases for fun and profit. It describes scraping woodblock print data from websites, processing the data with tools like Node.js and MongoDB, and building a searchable online database called Ukiyo-e.org. It also discusses using image analysis and similarity search to validate print data and identify copies. The goal is to aid the study of woodblock prints by building open tools and data.
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![module.exports = function() {
return {
scrape: [
{
start: "http://ukiyo-e.org/search",
visit: "//a[@class='img']",
next: "//a[contains(@rel,'next')]"
},
{
extract: {
"title": "//p[contains(@class, 'title')]//span",
"dateCreated": "//p[contains(@class, 'date')]//span",
"artists[]": "//p[contains(@class, 'artist')]//a",
"images[]": "//div[contains(@class,'imageholder')]//a/@href"
}
}
]
};
};](https://image.slidesharecdn.com/rga-2015-170424014035/85/Hacking-Art-History-32-320.jpg)
!["locale" : "ja",
"given" : "Okiie",
"given_kana" : "おきいえ",
"surname" : "Hashimoto",
"surname_kana" : "はしもと",
"name" : "Hashimoto Okiie",
"ascii" : "Hashimoto Okiie",
"plain" : "Hashimoto Okiie",
"kana" : "はしもとおきいえ",
"_id" : ObjectId("530c0825d9a80976b2000437")
}
],
"names" : [
{
"original" : "Hashimoto Okiie (魃湘d社)",
"locale" : "ja",
"kanji" : "魃湘d社",
"given" : "Okiie",
"given_kana" : "おきいえ",
"surname" : "Hashimoto",
"surname_kana" : "はしもと",
"given_kanji" : "d社",
"surname_kanji" : "魃",
"name" : "Hashimoto Okiie",
"ascii" : "Hashimoto Okiie",
"plain" : "Hashimoto Okiie",
"kana" : "はしもとおきいえ",
"_id" : ObjectId("530c0825d9a80976b2000439")
}
],
"extract" : [
"53dfc997cbf9fa7501d78e4820b24a9c"
],
"created" : ISODate("2014-02-25T03:04:05Z"),
"__v" : 0
}](https://image.slidesharecdn.com/rga-2015-170424014035/85/Hacking-Art-History-33-320.jpg)
Hacking Art History
- 1. Hacking Art History for Fun and Pro?t John Resig
- 17. Lot 55: 20 Japanese Woodblock Prints Each depicting a female/Geisha figure with calligraphy throughout each print. Prints measure 13.75" H x 9.375" W. Toning to each print, some losses around edges. Estimated Price: $400 - $600
- 18. Step 1: Acquire and read tons of expensive books.
- 19. Step 2: Learn to read Japanese. * Japanese from the 17th to 19th century. * You¨re not going to learn this from Rosetta Stone.
- 20. Step 3: Learn to read Japanese calligraphy.
- 21. Solution: A fast-loading, responsive, i18ned, web site: Ukiyo-e.org
- 26. Digital Ocean Amazon S3 Amazon Cloudfront Digital Ocean Images Data? (HTML, XML, JSON) Images JS, CSS Images JS, CSS nginx (w/ cache) node.js express node.js express naught mongodb Elastic? Search Scraper
- 29. Collecting Tons of Woodblock Print Data
- 30. Search Page Page Page HTML Image HTML Image HTML Image Search Page Page Page HTML Image HTML Image HTML Image Queue-based Crawling using PhantomJS Processing Queue
- 31. Some Website WebKit PhantomJS CasperJS SpookyJS Save Data XML Files Mongo Log libxml (+ xpath) MongoDB Extract Data Process Data Artists Images Correct Artist and Date Add to Site!
- 32. module.exports = function() { return { scrape: [ { start: "http://ukiyo-e.org/search", visit: "//a[@class='img']", next: "//a[contains(@rel,'next')]" }, { extract: { "title": "//p[contains(@class, 'title')]//span", "dateCreated": "//p[contains(@class, 'date')]//span", "artists[]": "//p[contains(@class, 'artist')]//a", "images[]": "//div[contains(@class,'imageholder')]//a/@href" } } ] }; };
- 33. "locale" : "ja", "given" : "Okiie", "given_kana" : "おきいえ", "surname" : "Hashimoto", "surname_kana" : "はしもと", "name" : "Hashimoto Okiie", "ascii" : "Hashimoto Okiie", "plain" : "Hashimoto Okiie", "kana" : "はしもとおきいえ", "_id" : ObjectId("530c0825d9a80976b2000437") } ], "names" : [ { "original" : "Hashimoto Okiie (魃湘d社)", "locale" : "ja", "kanji" : "魃湘d社", "given" : "Okiie", "given_kana" : "おきいえ", "surname" : "Hashimoto", "surname_kana" : "はしもと", "given_kanji" : "d社", "surname_kanji" : "魃", "name" : "Hashimoto Okiie", "ascii" : "Hashimoto Okiie", "plain" : "Hashimoto Okiie", "kana" : "はしもとおきいえ", "_id" : ObjectId("530c0825d9a80976b2000439") } ], "extract" : [ "53dfc997cbf9fa7501d78e4820b24a9c" ], "created" : ISODate("2014-02-25T03:04:05Z"), "__v" : 0 }
- 34. ＾Stack Scraper￣ https://github.com/jeresig/stack-scraper https://github.com/jeresig/ukiyoe-scrapers
- 35. Image Similarity
- 52. Idyll: Of?ine Image Cropping ? https://github.com/jeresig/idyll ? Crop images o?ine and on a mobile device. ? Saves the selections back to a server. ? Data is synced and saved using HTML 5 appcache. ? https://github.com/jeresig/node- appcache-glob
- 53. by David Chester? at Shutterstock https://github.com/dchester/perl-image-crop-calibration-target
- 55. Aiding Woodblock Print Studies with Image Analysis
- 68. Miyagawa Shuntei Printed in 1897 Sold for: $550 Prints sell for $100-$400 individually True Estimate: $2100 - $8400 * * You just have to find someone willing to buy them!
- 69. Does this work for other art forms? ? Collaborating with the Frick Art Reference Library ? Analyzing their Anonymous Italian Art Photo Archive ? Also working with the Zeri Foundation at the University of Bologna in Italy ? Analyzing their Italian Art Archives
- 70. Similar Images Different photo, same work of art.
- 71. Similar Images Different photo, slightly different cropping.
- 72. Similar Images Different photo, dramatically different lighting.
- 73. Alternate Images Partial Image vs. Full Image
- 74. Alternate Images Color vs. Black-and-White
- 75. Alternate Images Partial Image vs. Much Larger Image
- 76. Conservation
- 77. Conservation Repairs and possibly removal of later additions.
- 78. Conservation Analysis even spots dramatic conservation work.
- 79. Copies
- 80. Copies
- 81. Copies
- 82. Copies
- 83. Copies
- 84. Graph Analysis with neo4j
- 85. Frick 420 420 Zeri 1583642090 Frick 417 417 ?
- 87. Frick 347 347 Zeri 12227 33526 Frick 348 348 33525 ?
- 93. ? http://ejohn.org/research/ ? http://ukiyo-e.org/ ? https://github.com/jeresig
- 95. Japanese Names ? Utagawa Hiroshige ? Ando Hiroshige ? And┃ Hiroshige ? Hiroshige ? 梧寒ﾚ嶷 ? ﾚ嶷
- 99. Sharaku Toshusai |巖釆S Is this the family name? Where are the stress marks? How do you ＾split￣ this name? Which name parts? correlate?
- 100. Tools (all are Node modules!) ? https://github.com/lovell/ hepburn ? https://github.com/jeresig/ node-enamdict ? https://github.com/jeresig/ node-ndlna ? https://github.com/jeresig/ node-romaji-name ndlnahepburn enamdict romaji-name
- 101. Hepburn ? https://github.com/lovell/ hepburn ? Takes in the English form of a Japanese word. ? Returns it written in Hiragana or Katakana (phonetic Japanese alphabets). ndlnahepburn enamdict romaji-name うたがわひろしげUtagawa Hiroshige
- 102. Enamdict ? https://github.com/jeresig/ node-enamdict ? Downloads and queries the ENAMDICT database ? (A mapping of Japanese proper names to Hiragana and English.) ? Used to correct typos and ?gure out surname/given name. ndlnahepburn enamdict romaji-name
- 103. NDLNA ? https://github.com/jeresig/ node-ndlna ? Queries the NDLNA database ? Finds the correct Kanji for an English name. ? Or the correct English for a Kanji name. ndlnahepburn enamdict romaji-name
- 105. { "original" : "Sharaku Toshusai (|巖釆S )", "locale" : "ja", "kanji" : "|巖釆S", "given" : "Sharaku", "given_kana" : "しゃらく", "surname" : "T┃sh┗sai", "surname_kana" : "とおしゅうさい", "surname_kanji" : "|巖", "given_kanji" : "亟S", "name" : "T┃sh┗sai Sharaku", "ascii" : "Tooshuusai Sharaku", "plain" : "Toshusai Sharaku", "kana" : "とおしゅうさいしゃらく" }
- 106. Dates ? https://github.com/jeresig/node-yearrange var yr = require("yearrange"); yr.parse("1877") // {"start": 1877, "end": 1877} yr.parse("1847-48") // {"start": 1847, "end": 1848} yr.parse("ca. 1810-20s") // {"start": 1810, "end": 1829, "circa": true} yr.parse("18thC19th century") // {"start": 1700, "end": 1899} yr.parse("Meiji era") // {"start": 1868, "end": 1912}
- 107. Artist Recti?cation