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A language to analyze, describe, and explore collections of visual art
Visual Computing for Industry, Biomedicine, and Art ( IF 3.2 ) Pub Date : 2021-03-01 , DOI: 10.1186/s42492-021-00071-3
Hermann Pflüger

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.

中文翻译:

分析,描述和探索视觉艺术收藏的语言

如今,个人无法获得大量的艺术品。如果人们想知道存在的不同类型的艺术,个人作品如何连接以及如何在其他作品的上下文中解释和讨论艺术作品,那么他们除了简单地观看艺术外,还必须采用其他手段。因此,本文提出了一种分析,描述和探索视觉艺术收藏的语言(LadeCA)。LadeCA结合了人工解释和图像自动分析功能,使用户无需查看图像中的每幅图像,即可评估视觉艺术收藏。本文重点介绍LadeCA的词汇基础。它还概述了如何使用LadeCA词汇表分析,描述和探索视觉艺术收藏。此外,还演示了LadeCA和索引系统(例如ICONCLASS或AAT)之间的关系,
更新日期:2021-03-01
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