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一种用于分析、描述和探索视觉艺术作品集的语言。

A language to analyze, describe, and explore collections of visual art.

作者信息

Pflüger Hermann

机构信息

Institute for Visualization and Interactive Systems, University of Stuttgart, 70569, Stuttgart, Germany.

出版信息

Vis Comput Ind Biomed Art. 2021 Mar 1;4(1):5. doi: 10.1186/s42492-021-00071-3.

DOI:10.1186/s42492-021-00071-3
PMID:33646448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7921272/
Abstract

A vast quantity of art in existence today is inaccessible to individuals. If people want to know the different types of art that exist, how individual works are connected, and how works of art are interpreted and discussed in the context of other works, they must utilize means other than simply viewing the art. Therefore, this paper proposes a language to analyze, describe, and explore collections of visual art (LadeCA). LadeCA combines human interpretation and automatic analyses of images, allowing users to assess collections of visual art without viewing every image in them. This paper focuses on the lexical base of LadeCA. It also outlines how collections of visual art can be analyzed, described, and explored using a LadeCA vocabulary. Additionally, the relationship between LadeCA and indexing systems, such as ICONCLASS or AAT, is demonstrated, and ways in which LadeCA and indexing systems can complement each other are highlighted. Video abstract.

摘要

如今现存的大量艺术作品个人无法接触到。如果人们想了解现存的不同类型艺术、单件作品是如何相互关联的，以及艺术作品在其他作品的背景下是如何被解读和讨论的，他们必须采用除了简单观看艺术作品之外的其他方式。因此，本文提出一种用于分析、描述和探索视觉艺术作品集的语言（LadeCA）。LadeCA将人工解读与图像自动分析相结合，使用户无需查看其中的每一幅图像就能评估视觉艺术作品集。本文重点关注LadeCA的词汇基础。它还概述了如何使用LadeCA词汇来分析、描述和探索视觉艺术作品集。此外，展示了LadeCA与索引系统（如图像分类法或艺术与建筑叙词表）之间的关系，并强调了LadeCA与索引系统相互补充的方式。视频摘要。

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