ArtRESUBMIT - Artwork Risk Estimation Using Bayes and Machine Intelligence

ArtRESUBMIT是通过应用机器智能，对传统的使用鉴赏力来判断艺术真实性的过程的重新设想。它的工作原理是将艺术作品的视觉观察语言转化为一组功能丰富的等价属性，这些属性是从图像分析中数学确定的。然后，图像属性被传递到决策分类和评级系统以生成真实性风险评估。该系统为购买、出售和评估艺术品的传统信托服务提供了及时、远距离、经济、独立和客观的替代方案。

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.