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    LARGE SCALE IMAGE RECOGNITION USING GLOBAL SIGNATURES AND LOCAL FEATURE INFORMATION
    15.
    发明申请
    LARGE SCALE IMAGE RECOGNITION USING GLOBAL SIGNATURES AND LOCAL FEATURE INFORMATION 审中-公开
    使用全球标识和本地特征信息的大规模图像识别

    公开(公告)号：US20160259815A1

    公开(公告)日：2016-09-08

    申请号：US15063209

    申请日：2016-03-07

    Applicant: Nant Holdings IP, LLC

    Inventor： Bing Song ,  Liwen Lin

    IPC: G06F17/30 ,  G06K9/62

    Abstract: Techniques are provided that include receiving one or more global signatures for a query image in response to an image recognition query, wherein some of the plurality of global signatures are generated using local descriptors corresponding to different cropped versions of the image. A ranking order is determined for a plurality of document images based on nearest neighbor relations between document signatures corresponding to the plurality of document images and each one of the one or more global signatures for the query image. A subset of the plurality of document images is selected based on the determined ranking order. Additional document data corresponding to the selected subset of the plurality of document images is obtained, and a search result is generated based on a geometric verification between the additional document data corresponding to the selected subset of the plurality of document images and the query image.

    Abstract translation: 提供了技术，其包括响应于图像识别查询而针对查询图像接收一个或多个全局签名，其中使用对应于图像的不同裁剪版本的局部描述符来生成多个全局签名中的一些。 基于与多个文档图像对应的文档签名与查询图像的一个或多个全局签名中的每一个之间的最近邻关系，确定多个文档图像的排序顺序。 基于所确定的排序顺序来选择多个文档图像的子集。 获得与多个文档图像的所选子集相对应的附加文档数据，并且基于与多个文档图像的所选子集对应的附加文档数据和查询图像之间的几何验证来生成搜索结果。

    Fast recognition algorithm processing, systems and methods
    16.
    发明授权
    Fast recognition algorithm processing, systems and methods 有权
    快速识别算法处理，系统和方法

    公开(公告)号：US09355123B2

    公开(公告)日：2016-05-31

    申请号：US14332371

    申请日：2014-07-15

    Applicant: Nant Holdings IP, LLC

    Inventor： Kamil Wnuk ,  Bing Song ,  Matheen Siddiqui ,  David McKinnon ,  Jeremi Sudol ,  Patrick Soon-Shiong ,  Orang Dialameh

    IPC: G06K9/46 ,  G06F17/30 ,  G06K9/00

    CPC classification number: G06K9/00671 ,  G06F17/30247 ,  G06F19/00 ,  G06F19/321 ,  G06K9/00718 ,  G06K9/6202 ,  G06T7/0014 ,  G06T11/60 ,  G06T2207/10016 ,  G06T2207/20004 ,  G16H30/40

    Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.

    Abstract translation: 提出了快速识别或区分许多物体的系统和方法。 考虑的系统包括存储与已知建模对象相关联的识别模型的对象模型数据库。 可以基于从建模对象的关键帧导出的识别特征，在对象模型数据库中对对象标识符进行索引。 这样的对象在稍后的时间被识别引擎识别。 识别引擎可以基于当前上下文构建识别策略，其中识别策略包括用于在场景的数字表示上执行一个或多个识别算法的规则。 识别引擎可以识别来自对象模型数据库的对象，然后尝试识别与上下文相关的关键帧束，然后可以将其用于跟踪对象或查询内容数据库以获得内容信息。

    MULTIPARTY OBJECT RECOGNITION
    17.
    发明申请
    MULTIPARTY OBJECT RECOGNITION 审中-公开
    多媒体对象识别

    公开(公告)号：US20160018886A1

    公开(公告)日：2016-01-21

    申请号：US14800554

    申请日：2015-07-15

    Applicant: NANT HOLDINGS IP, LLC

    Inventor： Bing Song ,  John Wiacek ,  David McKinnon ,  Matheen Siddiqui

    IPC: G06F3/01 ,  H04L29/06 ,  G06K9/62

    Abstract: Multiparty object recognition systems and methods are disclosed. A method of interactively manipulating virtual object data, wherein an object database is configured to store first party object data that corresponds to a first real-world object and is further configured to store second party object data that corresponds to a second real-world object, includes obtaining the first party object data and the second party object data for storage within the object database. Access to the object database is controlled such that the first party object data and the second party object data is accessible to the first party and the second party. Modification of the first party object data by the second party is facilitated to generate modified first party object data that is in accordance with at least one context parameter of the second party object data, and the modified first party object data is communicated to the first party.

    Abstract translation: 公开了多方对象识别系统和方法。 一种交互地操纵虚拟对象数据的方法，其中对象数据库被配置为存储与第一真实世界对象相对应的第一方对象数据，并且还被配置为存储对应于第二真实世界对象的第二方对象数据， 包括获得第一方对象数据和第二方对象数据以存储在对象数据库内。 对对象数据库的访问被控制，使得第一方对象数据和第二方对象数据可被第一方和第二方访问。 促进第二方对第一方对象数据进行修改，以便产生与第二方对象数据的至少一个上下文参数相对应的修改的第一方对象数据，并将修改后的第一方对象数据传送给第一方 。

    Multiparty object recognition
    18.
    发明授权
    Multiparty object recognition 有权

    公开(公告)号：US12216811B2

    公开(公告)日：2025-02-04

    申请号：US16899518

    申请日：2020-06-11

    Applicant: Nant Holdings IP, LLC

    Inventor： Bing Song ,  John Wiacek ,  David McKinnon ,  Matheen Siddiqui

    IPC: G06F3/01 ,  A63F13/213 ,  A63F13/215 ,  A63F13/65 ,  G06F3/04815 ,  G06F3/04845 ,  G06T19/00 ,  H04L65/403

    Abstract: Multiparty object recognition systems and methods are disclosed. A method of interactively manipulating virtual object data, wherein an object database is configured to store first party object data that corresponds to a first real-world object and is further configured to store second party object data that corresponds to a second real-world object, includes obtaining the first party object data and the second party object data for storage within the object database. Access to the object database is controlled such that the first party object data and the second party object data is accessible to the first party and the second party. Modification of the first party object data by the second party is facilitated to generate modified first party object data that is in accordance with at least one context parameter of the second party object data, and the modified first party object data is communicated to the first party.

    IMAGE FEATURE COMBINATION FOR IMAGE-BASED OBJECT RECOGNITION
    19.
    发明申请
    IMAGE FEATURE COMBINATION FOR IMAGE-BASED OBJECT RECOGNITION 有权

    公开(公告)号：US20230123624A1

    公开(公告)日：2023-04-20

    申请号：US18082560

    申请日：2022-12-15

    Applicant: Nant Holdings IP, LLC

    Inventor： Bing Song ,  Liwen Lin

    IPC: G06T3/00 ,  G06F16/583 ,  G06T11/60 ,  G06V10/46 ,  G06F18/25

    Abstract: Methods, systems, and articles of manufacture to improve image recognition searching are disclosed. In some embodiments, a first document image of a known object is used to generate one or more other document images of the same object by applying one or more techniques for synthetically generating images. The synthetically generated images correspond to different variations in conditions under which a potential query image might be captured. Extracted features from an initial image of a known object and features extracted from the one or more synthetically generated images are stored, along with their locations, as part of a common model of the known object. In other embodiments, image recognition search effectiveness is improved by transforming the location of features of multiple images of a same known object into a common coordinate system. This can enhance the accuracy of certain aspects of existing image search/recognition techniques including, for example, geometric verification.

    Global signatures for large-scale image recognition
    20.
    发明授权
    Global signatures for large-scale image recognition 有权

    公开(公告)号：US11348678B2

    公开(公告)日：2022-05-31

    申请号：US16792105

    申请日：2020-02-14

    Applicant: Nant Holdings IP, LLC

    Inventor： Bing Song

    IPC: G06K9/00 ,  G16H30/40 ,  G06K9/62 ,  G06V10/46 ,  G16H10/60 ,  G06T7/00 ,  G06T11/60 ,  G16H30/20

    Abstract: Techniques are provided that include obtaining a vocabulary including a set of content indices that reference corresponding cells in a descriptor space based on an input set of descriptors. A plurality of local features of an image are identified based on the vocabulary, the local features being represented by a plurality of local descriptors. An associated visual word in the vocabulary is determined for each of the plurality of local descriptors. A plurality of global signatures for the image are generated based on the associated visual words, wherein some of the plurality of global signatures are generated using local descriptors corresponding to different cropped versions of the image, two or more of the different cropped versions of the image being centered at a same pixel location of the image, and an image recognition search is facilitated using the plurality of global signatures to search a document image dataset.

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