I-Corps: Artificial Intelligence for Analysis Of Visual Art

I-Corps：用于分析视觉艺术的人工智能

• 批准号: 1636932
• 负责人: Ahmed Elgammal
• 金额: $ 1.92万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2016-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1636932&HistoricalAwards=false
• 关键词: Corps; Artificial; Intelligence; Analysis; Visual

This I-Corps project utilizes artificial intelligence (AI) principles to detect abnormalities in images - in particular, it focuses on ways to enable visual information extraction.Large collections of art and other images exist in digitized form but there are few automated methods for processing and indexing this data. This project facilitates a wide range of applications from education to online markets because the technology focuses on automated analysis of art and other images based on algorithmic methodologies in artificial intelligence. For example, the project's computational models might facilitate indexing large-scale collections of art and extracting useful information from this massive visual data. In this context, knowledge can be useful to online and traditional galleries, collectors, educators, authenticators and others in making informed decision regarding artwork and artist.While the AI techniques are applicable to a broad range of images, the I-Corps team initially developed prototype computational models for analyzing artworks based on the visual information extracted from paintings. The computational models enable the system to perform perceptual and cognition tasks on digitized art for classification of paintings. AI algorithm can be specialized or tuned and optimized for different domains of fine-art analysis. While initially focusing on customer discovery within artistic contexts, the technology has the potential to be applicable in many different contexts. The I-Corps experience will help the team to better understand the market scope.

这个I -Corps项目利用人工智能（AI）原则来检测图像中的异常 - 特别是，它重点是启用视觉信息提取的方法。以数字化形式存在艺术和其他图像的收集，但很少有自动化方法处理和索引此数据。该项目促进了从教育到在线市场的广泛应用，因为该技术着重于基于人工智能算法方法的艺术和其他图像的自动分析。例如，该项目的计算模型可能有助于索引大规模的艺术品集，并从此大量视觉数据中提取有用的信息。在这种情况下，知识对在线和传统画廊，收藏家，教育工作者，身份验证者以及其他人在做出有关艺术品和艺术家的明智决定方面都有用。尽管AI技术适用于广泛的图像，但I-Corps最初开发的原型计算模型最初是根据从绘画中提取的可视化信息来分析艺术品的。计算模型使系统能够在数字化艺术上执行知觉和认知任务，以进行绘画分类。 AI算法可以专门化或调整并优化用于精细ART分析的不同领域。尽管最初专注于艺术环境中的客户发现，但该技术有可能在许多不同的情况下适用。 I-Corps的经验将帮助团队更好地了解市场范围。