ArtRESUBMIT - Artwork Risk Estimation Using Bayes and Machine Intelligence

ArtRESUBMIT - 使用贝叶斯和机器智能进行艺术品风险评估

• 批准号: 10012987
• 金额: $ 3.16万
• 依托单位: DR NICHOLAS EASTAUGH ASSOCIATES LIMITED
• 依托单位国家: 英国
• 项目类别: Responsive Strategy and Planning
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10012987
• 关键词: ArtRESUBMIT; Artwork; Risk; Estimation; Using

ArtRESUBMIT is a re-envisioning of the traditional process of judging the authenticity of art using connoisseurship, through the application of machine intelligence. It works by translating the language of visual observation of artworks into a feature-rich set of equivalent properties determined mathematically from image analysis. The image properties are then passed to a decision classification and rating system to generate an authenticity risk assessment. This system provides a timely, at-a-distance, cost-effective, independent, and objective alternative to conventional trust services for buying, selling, and evaluating art.

ArtRESUBMIT是通过机器智能的应用，对传统的使用鉴赏力来判断艺术品真伪的过程进行了重新设想。它的工作原理是将艺术品的视觉观察语言翻译成一组由图像分析数学确定的丰富的等效属性。然后将图像属性传递到决策分类和评级系统以生成真实性风险评估。该系统提供了一个及时的，在一个距离，成本效益，独立的，客观的替代传统的信任服务购买，销售和评估艺术。