Image Segmentation Techniques
    21.
    发明申请
    Image Segmentation Techniques 审中-公开
    图像分割技术

    公开(公告)号:US20150055843A1

    公开(公告)日:2015-02-26

    申请号:US14012112

    申请日:2013-08-28

    Abstract: Systems and articles of manufacture for image segmentation are provided herein, and include creating an anatomical model from training data comprising one or more imaging modalities, generating one or more simulated images in a target modality based on the anatomical model and one or more principles of physics pertaining to image contrast generation, and comparing the one or more simulated images to an unlabeled input image of a given imaging modality to determine a simulated image of the one or more simulated images to represent the unlabeled input image.

    Abstract translation: 本文提供了用于图像分割的系统和制品,并且包括从包括一个或多个成像模态的训练数据创建解剖模型,基于解剖模型和物理学的一个或多个原理在目标模态中生成一个或多个模拟图像 涉及图像对比度生成,以及将一个或多个模拟图像与给定成像模态的未标记输入图像进行比较,以确定一个或多个模拟图像的模拟图像以表示未标记的输入图像。

    Visually Generated Consumer Product Presentation
    22.
    发明申请
    Visually Generated Consumer Product Presentation 有权
    视觉产生的消费者产品介绍

    公开(公告)号:US20140379484A1

    公开(公告)日:2014-12-25

    申请号:US13926544

    申请日:2013-06-25

    Abstract: A personalization enhancement method and system. The method includes retrieving and analyzing digital content associated with a user. Characteristics describing the digital content are tagged and transferred to a profile of said the user. The profile includes additional characteristics generated during previous analysis of data from the digital content and additional digital content associated with the user. User information associated with products, a location, and a time profile is assigned. The profile is analyzed based on selection and interaction of the user with respect to a consumer Website. The profile includes the characteristics and the additional characteristics with respect to products and services of the consumer Website. A presentation color setting and a group of products and services of are determined for presentation to the user. The group of products and services are presented to the user using the presentation color setting.

    Abstract translation: 个性化增强方法和系统。 该方法包括检索和分析与用户相关联的数字内容。 描述数字内容的特征被标记并转移到所述用户的简档。 该简档包括在先前分析来自数字内容的数据和与用户相关联的附加数字内容期间生成的附加特征。 分配与产品相关联的用户信息,位置和时间简档。 基于用户对消费者网站的选择和交互来分析简档。 该简介包括消费者网站的产品和服务的特征和附加特征。 确定呈现颜色设置和一组产品和服务以呈现给用户。 使用演示颜色设置向用户显示一组产品和服务。

    Aerial videos compression
    23.
    发明授权

    公开(公告)号:US11172225B2

    公开(公告)日:2021-11-09

    申请号:US16285400

    申请日:2019-02-26

    Abstract: A computer-implemented method for finding objects in a collection of images or video, the method comprising: assessing a similarity between two subgraphs; detecting the objects in the collection; assessing a relationship between the objects; finding attributes of the objects; constructing a collection graph for the collection where each of the objects is the vertices and nodes of the collection graph and their relationships with other objects and attributes are edges of the collection graphs; recursively identifying coherent subgraphs and turning the coherent subgraphs into new meta-nodes of the collection graph; identification of the stable graph reducing the collection graph into zero or more distinct stories; assigning a similarity score for each pair of the stories based on a similarity between the corresponding stories; linking the stories into inlier stories based on the similarity score being greater than a first pre-determined threshold level.

    AUTOMATED BOUNDING BOX GENERATION FOR OBJECTS IN AN IMAGE

    公开(公告)号:US20200160084A1

    公开(公告)日:2020-05-21

    申请号:US16194817

    申请日:2018-11-19

    Abstract: One or more embodiments described herein include a computer-implemented method of determining a bounding box for an object in an image. The method includes determining a label for an object in a first image using a first algorithm, and generating a set of images based on the first image, by cropping the first image from a selected direction. The method further includes determining labels for each image in the set using the first algorithm, and removing images from the set such that the remaining images have a label matching the initial label. The method further includes determining a key image for the set, which is the smallest image from the set that has a confidence score exceeding a threshold. Further, the method includes determining a bounding box for the object in the first image based on a perimeter of a portion of the first image that overlaps the key image.

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