BirthMark

Jooyoung Oh
{"title":"BirthMark","authors":"Jooyoung Oh","doi":"10.1145/3414686.3427146","DOIUrl":null,"url":null,"abstract":"BirthMark proposes an artificial intelligence model of an audience to evaluate and anticipate the audience reaction to media art. In BirthMark, human cognitive process of appreciating artwork is defined in three stages: \"camouflage,\" \"solution\" and \"insight.\" In other words, understanding the intention (solution) from hidden images (camouflage) and realizing its meaning (insight). Watching the archive video clips featuring different works by 16 artists, the A.I. in BirthMark tries to appreciate works of art in a similar way to humans. YOLO-9000, an object detection system, tracks objects in the images of the works, while ACT-R, a cognitive architecture designed to mimic the structure of the brain, reads and perceives them. The A.I.'s process of recognizing works is shown in the video and the keywords of the works found in this process appear on a small screen. At the same time, an old slide projector shows what the A.I. understands semantically about the artists' interpretations of their own work. The A.I.'s cognitive process seems to be similar to the human act of appreciating art at a glance. But in reality, the keywords that it accurately analyzes from the images are only 2 to 5 out of 300 words. The more abstract the work is, the worse the A.I's intelligibility gets. As the \"birthmark\" in a short story of the same title by Nathaniel Hawthorne represents, BirthMark implies that there is a realm of humans that can be hardly explained through scientific methodology.","PeriodicalId":376476,"journal":{"name":"SIGGRAPH Asia 2020 Art Gallery","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGGRAPH Asia 2020 Art Gallery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3414686.3427146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

BirthMark proposes an artificial intelligence model of an audience to evaluate and anticipate the audience reaction to media art. In BirthMark, human cognitive process of appreciating artwork is defined in three stages: "camouflage," "solution" and "insight." In other words, understanding the intention (solution) from hidden images (camouflage) and realizing its meaning (insight). Watching the archive video clips featuring different works by 16 artists, the A.I. in BirthMark tries to appreciate works of art in a similar way to humans. YOLO-9000, an object detection system, tracks objects in the images of the works, while ACT-R, a cognitive architecture designed to mimic the structure of the brain, reads and perceives them. The A.I.'s process of recognizing works is shown in the video and the keywords of the works found in this process appear on a small screen. At the same time, an old slide projector shows what the A.I. understands semantically about the artists' interpretations of their own work. The A.I.'s cognitive process seems to be similar to the human act of appreciating art at a glance. But in reality, the keywords that it accurately analyzes from the images are only 2 to 5 out of 300 words. The more abstract the work is, the worse the A.I's intelligibility gets. As the "birthmark" in a short story of the same title by Nathaniel Hawthorne represents, BirthMark implies that there is a realm of humans that can be hardly explained through scientific methodology.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
胎记
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Invisible spot AI We can't see the rainbow in the white 주마간산 (jumagansan) Love
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1