CORRELATING IMAGE ANNOTATIONS WITH FOREGROUND FEATURES
    1.
    发明申请
    CORRELATING IMAGE ANNOTATIONS WITH FOREGROUND FEATURES 审中-公开
    将相关特征与图像相关联

    公开(公告)号:US20150067471A1

    公开(公告)日:2015-03-05

    申请号:US14290754

    申请日:2014-05-29

    IPC分类号: G06T5/50

    CPC分类号: G06F16/58

    摘要: A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as “What do rustic items look like?,” and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.

    摘要翻译: 机器可以被配置为执行机器学习过程,以通过使用图像和相关联的对应注释来识别和理解各种各样的物品的精细属性,例如标题,标题,标签,关键字或应用于这些图像的其它文本信息 。 通过使用机器学习过程,机器可以准确地执行属性识别,而无需人为干预。 这些项目属性可以用作具有相似特征的其他图像的注释。 因此,机器可以回答用户提交的问题,例如“乡村产品看起来像什么?”,并且描绘被认为是乡村的项目的项目或图像可以容易地被识别,分类,排序或其任何合适的组合。