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    BROWSER-BASED ANALYSIS OF CONTENT REQUEST MODE PERFORMANCE
    11.
    发明申请
    BROWSER-BASED ANALYSIS OF CONTENT REQUEST MODE PERFORMANCE 审中-公开
    基于浏览器的内容请求模式性能分析

    公开(公告)号：US20150156279A1

    公开(公告)日：2015-06-04

    申请号：US14094515

    申请日：2013-12-02

    Applicant: Amazon Technologies, Inc.

    Inventor： Ameet Nirmal Vaswani ,  Matthew Lloyd Trahan ,  Saral Jain

    IPC: H04L29/06

    CPC classification number: H04L67/42 ,  H04L67/14 ,  H04L67/28 ,  H04L67/2842

    Abstract: Features are disclosed for selecting preferred content request modes on a client computing device when initiating content requests. The request modes may correspond to direct requests (e.g., requests made from a client device directly to a content sever hosting requested content) or to indirect requests (e.g., requests made from the client device to the content server via an intermediary system). The preferred request modes made be based on a statistical analysis of performance data (e.g., prior content load times) observed or recorded by the client computing device in connection with prior content requests. Randomly selected request modes may be used to provide additional data for performance analysis.

    Abstract translation: 公开了用于在启动内容请求时在客户端计算设备上选择优选内容请求模式的特征。 请求模式可以对应于直接请求（例如，从客户端设备直接发送到托管所请求的内容的内容服务器的请求）或间接请求（例如，经由中间系统从客户端设备到内容服务器的请求）。 优选的请求模式基于与客户端计算设备相关联的先前内容请求观察或记录的性能数据（例如，先前的内容加载时间）的统计分析。 随机选择的请求模式可用于提供用于性能分析的附加数据。

    Dynamic modification of browser and content presentation
    13.
    发明授权
    Dynamic modification of browser and content presentation 有权

    公开(公告)号：US10310699B1

    公开(公告)日：2019-06-04

    申请号：US14563663

    申请日：2014-12-08

    Applicant: Amazon Technologies, Inc.

    Inventor： Saral Jain ,  Anthony N. Bice

    IPC: G06F17/00 ,  G06F3/0481 ,  G06F16/957 ,  G06F3/0484 ,  G06F17/21 ,  G06F16/95 ,  G06F16/954

    Abstract: Features are disclosed for providing a browsing experience for users where the browser interface and/or page layout are modified based on aggregated user preference data. Various browser modules can be exposed for a given content page based on analyzing data representing interactions of users with browser modules while viewing the content page. Accordingly, the modules exposed to users viewing the page can include useful functionalities for interacting with the content. Content page layouts can also be dynamically modified based on analyzed interactions of users with elements of the content page.

    Browser as a service
    14.
    发明授权
    Browser as a service 有权

    公开(公告)号：US09740791B1

    公开(公告)日：2017-08-22

    申请号：US14494446

    申请日：2014-09-23

    Applicant: Amazon Technologies, Inc.

    Inventor： David Andrew Killian ,  Dhruva Lakshmana Rao Batni ,  Rohit Krishna Kumar ,  Nikhil Dinkar Joshi ,  Samuel John Young ,  Saral Jain ,  James Alan Umstot

    IPC: G06F17/00 ,  G06F17/30 ,  G06F17/22

    CPC classification number: G06F17/30893 ,  G06F17/2247

    Abstract: Techniques and solutions for providing a cloud browse service are described. For example, a client can request a web page. In response to the request, the client can receive a processed layer tree representing the web page. The processed layer tree can be created by a server environment (e.g., by creating an original DOM from obtained HTML and associated web page resources for the web page and creating the processed layers from the original DOM). The client can create a simplified DOM from the received processed layers and display the web page using the simplified DOM. Techniques and solutions for providing a browser as a service are described. For example, a web browser component can receive a processed layer tree representing a web page, create a simplified DOM, and display the web page.

    Cloud browser DOM-based client
    16.
    发明授权
    Cloud browser DOM-based client 有权
    云浏览器基于DOM的客户端

    公开(公告)号：US09582600B1

    公开(公告)日：2017-02-28

    申请号：US14494408

    申请日：2014-09-23

    Applicant: Amazon Technologies, Inc.

    Inventor： David Andrew Killian ,  Dhruva Lakshmana Rao Batni ,  Rohit Krishna Kumar ,  Nikhil Dinkar Joshi ,  Samuel John Young ,  Saral Jain ,  James Alan Umstot

    IPC: G06F17/00 ,  G06F17/30 ,  H04L29/08 ,  G06F17/22

    CPC classification number: G06F17/2247 ,  G06F17/227 ,  G06F17/30899 ,  G06F17/30902 ,  H04L67/02 ,  H04L67/10

    Abstract: Techniques and solutions for providing a cloud browse service are described. For example, a client can request a web page. In response to the request, the client can receive a processed layer tree representing the web page. The processed layer tree can be created by a server environment (e.g., by creating an original DOM from obtained HTML and associated web page resources for the web page and creating the processed layers from the original DOM). The client can create a simplified DOM from the received processed layers and display the web page using the simplified DOM. Techniques and solutions for providing a browser as a service are described. For example, a web browser component can receive a processed layer tree representing a web page, create a simplified DOM, and display the web page.

    Abstract translation: 描述了提供云浏览服务的技术和解决方案。 例如，客户端可以请求网页。 响应于该请求，客户端可以接收表示网页的处理层树。 处理的层树可以由服务器环境创建（例如，通过从获得的HTML创建原始DOM以及针对网页的相关网页资源并从原始DOM创建处理的层）。 客户端可以从接收到的处理层创建简化的DOM，并使用简化的DOM显示网页。 描述了提供浏览器作为服务的技术和解决方案。 例如，Web浏览器组件可以接收表示网页的处理层树，创建简化的DOM并显示网页。

    PREDICTING NEXT WEB PAGES
    17.
    发明申请
    PREDICTING NEXT WEB PAGES 有权
    预测下一页网页

    公开(公告)号：US20150371142A1

    公开(公告)日：2015-12-24

    申请号：US14311144

    申请日：2014-06-20

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Saral Jain

    IPC: G06N5/04

    CPC classification number: G06N5/048 ,  G06F17/30902

    Abstract: Techniques and solutions for predicting web pages are described. Web page prediction can be performed using prediction models, including aggregate prediction models and user-based prediction models. Prediction models can be used to predict which web page (or which web pages) a user is likely to visit (e.g., to visit next after a current web page). Predicted web pages can be obtained in advance (e.g., pre-fetched and/or pre-rendered). Web page prediction can be performed by server computing environments and/or by client computing devices.

    Abstract translation: 描述用于预测网页的技术和解决方案。 可以使用包括聚合预测模型和基于用户的预测模型的预测模型来执行网页预测。 预测模型可用于预测用户可能访问的网页（或哪些网页）（例如，在当前网页之后访问）。 可以预先获得预测的网页（例如，预先获取和/或预先呈现）。 网页预测可以由服务器计算环境和/或客户端计算设备执行。

    PERFORMANCE-BASED DETERMINATION OF REQUEST MODES
    18.
    发明申请
    PERFORMANCE-BASED DETERMINATION OF REQUEST MODES 审中-公开
    基于性能的请求模式的确定

    公开(公告)号：US20150156280A1

    公开(公告)日：2015-06-04

    申请号：US14094545

    申请日：2013-12-02

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Ameet Nirmal Vaswani ,  Saral Jain ,  Matthew Lloyd Trahan

    IPC: H04L29/06

    CPC classification number: H04L67/42 ,  H04L67/14 ,  H04L67/28 ,  H04L67/2842

    Abstract: Features are disclosed for determining preferred content request modes for client computing devices when initiating content requests. The request modes may correspond to direct requests (e.g., requests made from a client device directly to a content sever hosting requested content) or to indirect requests (e.g., requests made from the client device to the content server via an intermediary system). The preferred request modes made be based on a statistical analysis of performance data (e.g., prior content load times) obtained from one or more client computing devices for a given content item, group of content items (e.g., domain), and the like.

    Abstract translation: 公开了用于在发起内容请求时确定客户端计算设备的优选内容请求模式的特征。 请求模式可以对应于直接请求（例如，从客户端设备直接发送到托管所请求的内容的内容服务器的请求）或间接请求（例如，经由中间系统从客户端设备到内容服务器的请求）。 优选的请求模式基于对于给定内容项目，内容项目组（例如，域）等从一个或多个客户端计算设备获得的性能数据（例如，先前内容加载时间）的统计分析。

    Detecting overexposure in images from sunlight
    19.
    发明授权
    Detecting overexposure in images from sunlight 有权

    公开(公告)号：US11854233B1

    公开(公告)日：2023-12-26

    申请号：US17170493

    申请日：2021-02-08

    Applicant: Amazon Technologies, Inc.

    Inventor： Riccardo Gherardi ,  Saral Jain ,  Hasan Tuna Icingir ,  Griffin Alexander Jarmin ,  Bo Chen

    IPC: G06K9/00 ,  G06T7/80 ,  G06V20/13 ,  G06V20/52 ,  G06V10/60

    CPC classification number: G06T7/80 ,  G06V10/60 ,  G06V20/13 ,  G06V20/52 ,  G06T2207/30232

    Abstract: Described is a method for processing image data to determine if a portion of the image data is affected due to sunlight. In some implementations, image data is sent to an image data store and camera parameters are sent to a radiance detection service. The radiance detection service, upon receiving the camera parameters, retrieves the image data, converts the image data to gray-scale and processes the image data based on the camera parameters to determine a radiance value for the camera. The radiance value may be compared to a baseline radiance value to determine if sunlight is represented in the image data. In some implementations, a baseline model may be developed for the camera and used to cancel out any pixels of the image data that are overexposed under normal or baseline conditions. Likewise, a foreground model may be generated to detect any objects in the image data for which corresponding pixel values should not be considered for determining if sunlight is represented in the image data.

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