Ikonographie und Interaktion. Computergestützte Analyse von Posen in Bildern der Heilsgeschichte. Bell, P. & Impett, L. Ninth Computing within Limits 2023, 24(1):31–53, July, 2019. 🏷️ /unread![Ikonographie und Interaktion. Computergestützte Analyse von Posen in Bildern der Heilsgeschichte [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex \textlesssection class="abstract"\textgreater\textlessh2 class="abstractTitle text-title my-1" id="d335e2"\textgreaterAbstract\textless/h2\textgreater\textlessp\textgreaterThe last few years have seen an explosion of medieval images in digital form, chiefly as a result of photo-library and manuscript digitisation projects. An entire corpus of images, even selected solely by scene or iconography, becomes an unwieldy object of study by traditional art-historical means. This is even more the case for medieval images, where authorship and dating are often cloudy and unclear, and the image itself is in many cases the first resource for scholarly inquiry.We take the digital image – in particular, the digital image of the body – as our object of study in a wide-ranging computationally-augmented reading of an image-corpus; ours is made up of thousands of depictions of the ‘Annunciation’ and ‘Baptism’, selected not only for their primacy in Christian art but for their dialogical interaction. Our corpus of 6,564 ‘Annunciations’ and 883 ‘Baptisms’, whilst not necessarily representative in density, includes a wide range of stylistic, theological and historical tendencies.We computationally extract not only body images but poses, gestures and interactions. Such a range of gestures allows for a morphological treatment of bodily motifs, whose multi-dimensional, quantitative nature allows us to complicate and problematise iconographic taxonomies, populating the spaces between categories. Finally, our gestural manifolds provide a morphological pointer to dissecting the microtemporalities of the scenes, and their relative dynamics and inconsistencies.\textless/p\textgreater\textless/section\textgreater 【摘要翻译】\textlesssection class="abstract"\textgreater\textlessh2 class="abstractTitle text-title my-1" id="d335e2"\textgreater摘要\textless/h2\textgreater\textlessp\textgreater过去几年中，数字形式的中世纪图像激增，这主要是照片图书馆和手稿数字化项目的结果。按照传统的艺术史研究方法，即使仅从场景或图像学角度来选择整个图像库，也会成为一个难以处理的研究对象。我们将数字图像–尤其是身体的数字图像–作为研究对象，对图像语料库进行了广泛的计算增强解读；我们的语料库由数千幅 "圣母领报 "和 "洗礼 "的图像组成，这些图像不仅因其在基督教艺术中的首要地位而被选中，而且还因其对话互动而被选中。我们的语料库包括 6564 幅 "圣母领报 "和 883 幅 "洗礼"，虽然在密度上不一定具有代表性，但却包含了广泛的风格、神学和历史倾向。我们通过计算不仅提取了人体图像，还提取了姿势、手势和互动。这些手势允许我们对身体图案进行形态学处理，其多维、定量的性质允许我们将图标分类法复杂化和问题化，填充类别之间的空间。最后，我们的手势流形为剖析场景的微观时空及其相对动态和不一致性提供了形态学指针。
@article{bell2019,
title = {Ikonographie und {Interaktion}. {Computergestützte} {Analyse} von {Posen} in {Bildern} der {Heilsgeschichte}},
volume = {24},
issn = {0011-5266},
shorttitle = {Ikonographie und {Interaktion}.用计算机分析《耶稣受难史》图片中的 {Posen}},
url = {https://www.degruyter.com/view/journals/mial/24/1/article-p31.xml},
doi = {10.1515/mial-2019-0004},
abstract = {{\textless}section class="abstract"{\textgreater}{\textless}h2 class="abstractTitle text-title my-1" id="d335e2"{\textgreater}Abstract{\textless}/h2{\textgreater}{\textless}p{\textgreater}The last few years have seen an explosion of medieval images in digital form, chiefly as a result of photo-library and manuscript digitisation projects. An entire corpus of images, even selected solely by scene or iconography, becomes an unwieldy object of study by traditional art-historical means. This is even more the case for medieval images, where authorship and dating are often cloudy and unclear, and the image itself is in many cases the first resource for scholarly inquiry.We take the digital image – in particular, the digital image of the body – as our object of study in a wide-ranging computationally-augmented reading of an image-corpus; ours is made up of thousands of depictions of the ‘Annunciation’ and ‘Baptism’, selected not only for their primacy in Christian art but for their dialogical interaction. Our corpus of 6,564 ‘Annunciations’ and 883 ‘Baptisms’, whilst not necessarily representative in density, includes a wide range of stylistic, theological and historical tendencies.We computationally extract not only body images but poses, gestures and interactions. Such a range of gestures allows for a morphological treatment of bodily motifs, whose multi-dimensional, quantitative nature allows us to complicate and problematise iconographic taxonomies, populating the spaces between categories. Finally, our gestural manifolds provide a morphological pointer to dissecting the microtemporalities of the scenes, and their relative dynamics and inconsistencies.{\textless}/p{\textgreater}{\textless}/section{\textgreater}
【摘要翻译】{\textless}section class="abstract"{\textgreater}{\textless}h2 class="abstractTitle text-title my-1" id="d335e2"{\textgreater}摘要{\textless}/h2{\textgreater}{\textless}p{\textgreater}过去几年中，数字形式的中世纪图像激增，这主要是照片图书馆和手稿数字化项目的结果。按照传统的艺术史研究方法，即使仅从场景或图像学角度来选择整个图像库，也会成为一个难以处理的研究对象。我们将数字图像--尤其是身体的数字图像--作为研究对象，对图像语料库进行了广泛的计算增强解读；我们的语料库由数千幅 "圣母领报 "和 "洗礼 "的图像组成，这些图像不仅因其在基督教艺术中的首要地位而被选中，而且还因其对话互动而被选中。我们的语料库包括 6564 幅 "圣母领报 "和 883 幅 "洗礼"，虽然在密度上不一定具有代表性，但却包含了广泛的风格、神学和历史倾向。我们通过计算不仅提取了人体图像，还提取了姿势、手势和互动。这些手势允许我们对身体图案进行形态学处理，其多维、定量的性质允许我们将图标分类法复杂化和问题化，填充类别之间的空间。最后，我们的手势流形为剖析场景的微观时空及其相对动态和不一致性提供了形态学指针。},
language = {en},
number = {1},
urldate = {2020-07-07},
journal = {Ninth Computing within Limits 2023},
author = {Bell, Peter and Impett, Leonardo},
month = jul,
year = {2019},
note = {🏷️ /unread},
keywords = {/unread},
pages = {31--53},
}
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