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    INTERACTIVE PATH TRACING ON THE WEB
    2.
    发明申请
    INTERACTIVE PATH TRACING ON THE WEB 审中-公开

    公开(公告)号：WO2021072376A2

    公开(公告)日：2021-04-15

    申请号：PCT/US2020/055261

    申请日：2020-10-12

    申请人： HOVER, INC.

    发明人： CRANE, Lucas ,  AVILA, Francisco ,  TRIPATHI, Abhishek

    IPC分类号： G06T15/50 ,  G06T15/60 ,  G06T5/00 ,  G06T15/06 ,  G06T7/73 ,  G06F16/9577 ,  G06T1/20 ,  G06T15/005 ,  G06T15/04 ,  G06T15/08 ,  G06T17/10 ,  G06T17/20 ,  G06T17/205 ,  H04L67/02

    摘要： A method renders photorealistic images in a web browser. The method is performed at a computing device having a general purpose processor and a graphics processing unit (GPU). The method includes obtaining an environment map and images of an input scene. The method also includes computing textures for the input scene including by encoding an acceleration structure of the input scene. The method further includes transmitting the textures to shaders executing on a GPU. The method includes generating samples of the input scene, by performing at least one path tracing algorithm on the GPU, according to the textures. The method also includes lighting or illuminating a sample of the input scene using the environment map, to obtain a lighted scene, and tone mapping the lighted scene. The method includes drawing output on a canvas, in the web browser, based on the tone-mapped scene to render the input scene.

    LIMITING PROVISION AND DISPLAY OF REDUNDANT DIGITAL COMPONENTS ON A CLIENT DEVICE
    5.
    发明申请
    LIMITING PROVISION AND DISPLAY OF REDUNDANT DIGITAL COMPONENTS ON A CLIENT DEVICE 审中-公开

    公开(公告)号：WO2021221718A8

    公开(公告)日：2021-11-04

    申请号：PCT/US2020/061767

    申请日：2020-11-23

    申请人： GOOGLE LLC

    发明人： CARBUNE, Victor ,  SHARIFI, Matthew

    IPC分类号： G06F16/957 ,  G06F16/9538 ,  G06F16/9577 ,  G06N20/00 ,  H04L67/2823

    摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for limiting provision and display of redundant digital components on a client. Methods can include storing, by a client device, a list of digital components specifying digital components available for provision to the client device. For a first digital component received within a first application, the client device detects a set of signals specifying a first user interaction with the first digital component and a second user interaction with content provided in response to the first user interaction. Based on whether an affirmative user action was performed, the client device can modify the list of digital components. When a request to access a content page within a second application is received, the client device can receive the second digital component, which can be selected from among digital components included on the modified list of digital components.

    一种信息显示的方法和系统
    6.
    发明申请
    一种信息显示的方法和系统 审中-公开

    公开(公告)号：WO2021139743A1

    公开(公告)日：2021-07-15

    申请号：PCT/CN2021/070758

    申请日：2021-01-08

    申请人： 北京嘀嘀无限科技发展有限公司

    发明人： 李玮 ,  刘沐

    IPC分类号： G06F16/957 ,  G01C21/3626 ,  G06F16/29 ,  G06F16/9537 ,  G06F16/9577

    摘要： 一种信息显示的方法。所述方法包括：在屏幕显示区域上显示行程的至少一个标定地点(510)；以及在所述屏幕显示区域上显示与所述至少一个标定地点中的每一个标定地点对应的目标属性(520)，所述目标属性的显示方式与所述至少一个标定地点在所述屏幕显示区域上的标定显示位置相关，其中，所述目标属性的所述显示方式包括：所述目标属性相对于对应的标定地点的显示方向，和所述目标属性相对于所述对应的标定地点的显示距离。通过将对应标定地点的目标属性以目标属性的显示方式进行显示，可以避免至少一个标定地点的目标属性的信息遮挡，提升了信息显示的完整性，为用户出行时查看地图带来了便利。

    SPOILER PREVENTION
    9.
    发明申请
    SPOILER PREVENTION 审中-公开

    公开(公告)号：WO2022005662A2

    公开(公告)日：2022-01-06

    申请号：PCT/US2021/034672

    申请日：2021-05-28

    申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

    发明人： EBERSOL, Geoffrey T. ,  WEST, Jeff ,  KELLY, Benjamin D. ,  BUTCHER, Aaron M. ,  ANDREW, Felix G. T. I.

    IPC分类号： G06F16/957 ,  G06F16/483 ,  G06F16/951 ,  G06F16/9535 ,  G06F16/9538 ,  G06F16/9577 ,  G06N20/00

    摘要： Methods, systems and computer program products are provided for spoiler prevention. Media consumption applications may be placed in "spoiler-free" mode, for example, to prevent media content from spoiling first-hand user experience. A user may provide and/or authorize access to and use of spoiler prevention information. A user may request media content (e.g., while surfing the Internet). Digital media content to be presented to a user may be searched in real-time and/or pre-searched for spoiler content and/or associated spoiler indications relative to spoiler prevention information. Identified spoiler content may be concealed from users. A procedure may be provided for users to determine one or more reasons why content is concealed, to selectively reveal concealed content, and to provide feedback whether concealed content was or was not spoiler content for a user. Feedback may be used to improve spoiler prevention, for example, by retraining a machine learning model, which may be user-specific.

    AUTOMATED STRUCTURED TEXTUAL CONTENT CATEGORIZATION ACCURACY WITH NEURAL NETWORKS
    10.
    发明申请
    AUTOMATED STRUCTURED TEXTUAL CONTENT CATEGORIZATION ACCURACY WITH NEURAL NETWORKS 审中-公开

    公开(公告)号：WO2021257182A1

    公开(公告)日：2021-12-23

    申请号：PCT/US2021/029026

    申请日：2021-04-25

    申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

    发明人： LAKSHMANAN, Charumathi ,  LI, Ye ,  OVERWIJK, Arnold ,  XIONG, Chenyan ,  SHEN, Jiguang ,  AHMED, Junaid ,  GUO, Jiaming

    IPC分类号： G06F16/35 ,  G06F16/355 ,  G06F16/9577 ,  G06F40/30 ,  G06F9/30036 ,  G06N3/0454 ,  G06N3/08

    摘要： To provide automated categorization of structured textual content individual nodes of textual content, from a document object model encapsulation of the structured textual content, have a multidimensional vector associated with them, where the values of the various dimensions of the multidimensional vector are based on the textual content in the corresponding node, the visual features applied or associated with the textual content of the corresponding node, and positional information of the textual content of the corresponding node. The multidimensional vectors are input to a neighbor-imbuing neural network. The enhanced multidimensional vectors output by the neighbor-imbuing neural network are then be provided to a categorization neural network. The resulting output can be in the form of multidimensional vectors whose dimensionality is proportional to categories into which the structured textual content is to be categorized. A weighted merge takes into account multiple nodes that are grouped together.