I-Corps: Artificial Intelligence for Analysis Of Visual Art
I-Corps: Artificial Intelligence for Analysis Of Visual Art
批准号:
1636932
负责人:
Ahmed Elgammal
金额:
$1.92万
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
项目状态:
已结题
起止时间:
2016-09-01 至 2016-10-31
中文摘要
这个i-Corps项目利用人工智能(AI)原理来检测图像中的异常-特别是它专注于实现视觉信息提取的方法。大量的艺术和其他图像以数字化的形式存在,但很少有自动化的方法来处理和索引这些数据。该项目促进了从教育到在线市场的广泛应用,因为该技术专注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收藏,并从这些海量的视觉数据中提取有用的信息。在这种情况下,知识可能对在线和传统画廊、收藏家、教育工作者、鉴定者和其他人做出关于艺术品和艺术家的明智决定很有用。虽然人工智能技术适用于广泛的图像,但i-Corps团队最初开发了基于从绘画中提取的视觉信息来分析艺术品的原型计算模型。计算模型使系统能够对用于绘画分类的数字化艺术执行感知和认知任务。AI算法可以针对美术分析的不同领域进行专门或调整和优化。虽然最初专注于艺术背景下的客户发现,但这项技术具有在许多不同背景下应用的潜力。I-Corps的经验将帮助团队更好地了解市场范围。
英文摘要
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.
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RI: Medium: Collaborative Research: Write A Classifier: Learning Fine-Grained Visual Classifiers from Text and Images
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2014
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依托单位:
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依托单位:
海外基金