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

4区 计算机科学 Q1 Arts and Humanities Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-03-01 DOI:10.1186/s42492-021-00071-3
Hermann Pflüger
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引用次数: 5

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.

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一种分析、描述和探索视觉艺术收藏的语言。
今天存在的大量艺术品是个人无法接触到的。如果人们想知道存在的不同类型的艺术,个体作品是如何联系起来的,以及艺术作品是如何在其他作品的背景下被解释和讨论的,他们必须使用不仅仅是观看艺术的手段。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,允许用户在不查看每一张图像的情况下评估视觉艺术收藏。本文主要研究LadeCA的词汇基础。它还概述了如何使用LadeCA词汇分析、描述和探索视觉艺术收藏。此外,还演示了LadeCA和索引系统(如ICONCLASS或AAT)之间的关系,并强调了LadeCA和索引系统相互补充的方式。视频摘要。
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来源期刊
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts
CiteScore
5.60
自引率
0.00%
发文量
28
审稿时长
5 weeks
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