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    • 3. 发明申请
    • Graphical Annotations and Domain Objects to Create Feature Level Metadata of Images
    • 图形注释和域对象来创建图像的特征级元数据
    • US20060041564A1
    • 2006-02-23
    • US10711061
    • 2004-08-20
    • Pramod JainHoai Nguyen
    • Pramod JainHoai Nguyen
    • G06F7/00
    • G06F16/50G06F16/907
    • Disclosed is a method, system and program for creating an annotation resource and feature-level metadata for images. Annotation resource is a collection of feature-specific domain objects. A domain object contains geometry of the feature and plurality of attributes. Geometry of feature is created by graphically annotating with freeform drawing tools on a transparent layer placed on top of the image. Attribute values may be computed automatically, manually entered or hyperlinked to a resource. The annotation resource will be stored in a database separate from the image, and cataloged in a metadata repository. This will allow users to perform search based on feature-level attributes to retrieve and display the annotation resource with the associated image.
    • 公开了一种用于创建用于图像的注释资源和特征级元数据的方法,系统和程序。 注释资源是特征域对象的集合。 域对象包含要素的几何和多个属性。 通过在放置在图像顶部的透明图层上以自由形式绘图工具进行图形注释来创建特征的几何。 属性值可以自动计算,手动输入或超链接到资源。 注释资源将存储在与图像分开的数据库中,并在元数据存储库中编目。 这将允许用户根据特征级属性执行搜索,以检索和显示带有关联图像的注释资源。
    • 4. 发明授权
    • Automated collateral risk and business performance assessment system
    • US10269066B2
    • 2019-04-23
    • US16014120
    • 2018-06-21
    • Pramod Jain
    • Pramod Jain
    • G06Q40/02G06N20/00
    • A system that automatically manages a collateral risk and a business performance of an entity is provided. The system generates a customizable database to store critical accounting and ancillary business information. The system automatically updates the customized database at predefined time periods based on new accounting and ancillary business information. The system automatically enables the customized database for scalable assessment of a collateral risk and a business performance of an entity. The system determines the collateral risk and business performance of an entity and provides the collateral risk, and business performance of the entity and an analytical summary of the accounting and the ancillary business information to a machine learning model. The system recommends actions to be performed to reduce the collateral risk and to improve the business performance based on the accounting and ancillary business information. The system enables a user to perform the actions to reduce the collateral risk and to improve the business performance of the entity.