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    VISUAL CLOTHING RETRIEVAL
    1.
    发明申请
    VISUAL CLOTHING RETRIEVAL 有权
    视觉衣物检索

    公开(公告)号：US20140314313A1

    公开(公告)日：2014-10-23

    申请号：US13865142

    申请日：2013-04-17

    Applicant: YAHOO! INC.

    Inventor： Lyndon Kennedy ,  Jia Li ,  Ioannis Kalantidis

    IPC: G06K9/62 ,  G06T7/00

    CPC classification number: G06T7/0079 ,  G06K9/00369 ,  G06T7/10 ,  G06T7/70 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30196

    Abstract: Techniques are provided for efficiently identifying relevant product images based on product items detected in a query image. In general, a query image may represent a digital image in any format that depicts a human body and one or more product items. For example, a query image may be an image for display on a webpage, an image captured by a user using a camera device, or an image that is part of a media content item, such as a frame from a video. Product items may be detected in a query image by segmenting the query image into a plurality of image segments and clustering one or more of the plurality image segments into one or more image segment clusters. The resulting image segments and image segment clusters may be used to search for visually similar product images.

    Abstract translation: 提供了基于在查询图像中检测到的产品项目来有效地识别相关产品图像的技术。 通常，查询图像可以表示描绘人体和一个或多个产品项目的任何格式的数字图像。 例如，查询图像可以是用于在网页上显示的图像，由使用相机设备的用户捕获的图像，或作为诸如来自视频的帧的媒体内容项的一部分的图像。 可以通过将查询图像分割成多个图像片段并将多个图像片段中的一个或多个聚类成一个或多个图像片段群集来在查询图像中检测产品项目。 所得到的图像段和图像段聚类可用于搜索视觉上相似的产品图像。

    Visual clothing retrieval
    3.
    发明授权
    Visual clothing retrieval 有权
    视觉服装检索

    公开(公告)号：US09460518B2

    公开(公告)日：2016-10-04

    申请号：US13865142

    申请日：2013-04-17

    Applicant: Yahoo! Inc.

    Inventor： Lyndon Kennedy ,  Jia Li ,  Ioannis Kalantidis

    IPC: G06T7/00 ,  G06K9/00

    CPC classification number: G06T7/0079 ,  G06K9/00369 ,  G06T7/10 ,  G06T7/70 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30196

    Abstract: Techniques are provided for efficiently identifying relevant product images based on product items detected in a query image. In general, a query image may represent a digital image in any format that depicts a human body and one or more product items. For example, a query image may be an image for display on a webpage, an image captured by a user using a camera device, or an image that is part of a media content item, such as a frame from a video. Product items may be detected in a query image by segmenting the query image into a plurality of image segments and clustering one or more of the plurality image segments into one or more image segment clusters. The resulting image segments and image segment clusters may be used to search for visually similar product images.

    Abstract translation: 提供了基于在查询图像中检测到的产品项目来有效地识别相关产品图像的技术。 通常，查询图像可以表示描绘人体和一个或多个产品项目的任何格式的数字图像。 例如，查询图像可以是用于在网页上显示的图像，由使用相机设备的用户捕获的图像，或作为诸如来自视频的帧的媒体内容项的一部分的图像。 可以通过将查询图像分割成多个图像片段并将多个图像片段中的一个或多个聚类成一个或多个图像片段群集来在查询图像中检测产品项目。 所得到的图像段和图像段聚类可用于搜索视觉上相似的产品图像。

    Encoding pre-roll advertisements in progressively-loading images
    5.
    发明授权
    Encoding pre-roll advertisements in progressively-loading images 有权
    在逐行加载图像中对前贴片广告进行编码

    公开(公告)号：US09066116B2

    公开(公告)日：2015-06-23

    申请号：US13965934

    申请日：2013-08-13

    Applicant: Yahoo! Inc.

    Inventor： Lyndon Kennedy ,  Tomasz Gulik

    IPC: H04N21/462 ,  H04N21/654 ,  H04N21/81 ,  H04N21/2343 ,  H04N21/234 ,  H04N21/235 ,  H04N21/2662 ,  H04N21/258 ,  H04N21/435 ,  H04N21/4402

    CPC classification number: H04N21/2343 ,  H04N19/625 ,  H04N21/23424 ,  H04N21/2355 ,  H04N21/25833 ,  H04N21/2662 ,  H04N21/4307 ,  H04N21/4318 ,  H04N21/4355 ,  H04N21/4402 ,  H04N21/4621 ,  H04N21/654 ,  H04N21/812

    Abstract: Some embodiments of the invention provide techniques for an advertisement mask and a target media content being jointly encoded, transformed, and progressively rendered for presentation to a user. Specifically, a request for the target media content by a user is received. The target media content and the advertisement mask are scaled and divided into equally sized blocks and, further, jointly encoded into a compressed media file. Transformation of the content of the compressed media file is followed by progressively loading and rendering the advertisement mask and a partially obscured view of the media content. As the target media content is transmitted and fully rendered, the advertisement mask gradually decreases in opacity until it is removed for presentation of the fully-rendered target media content.

    Abstract translation: 本发明的一些实施例提供了用于广告掩码和目标媒体内容的技术，该广告掩码和目标媒体内容被联合编码，变换和逐渐呈现以呈现给用户。 具体地说，接收用户对目标媒体内容的请求。 目标媒体内容和广告掩码被缩放并分成相同大小的块，并且进一步被共同地编码成压缩媒体文件。 压缩媒体文件的内容的转换之后是逐渐加载和呈现广告掩码和媒体内容的部分模糊的视图。 当目标媒体内容被传送和完全呈现时，广告掩模在不透明度中逐渐减小，直到被去除以呈现完全呈现的目标媒体内容。

    COMPUTERIZED SYSTEM AND METHOD FOR MODIFYING A MEDIA FILE BY AUTOMATICALLY APPLYING SECURITY FEATURES TO SELECT PORTIONS OF MEDIA FILE CONTENT
    6.
    发明申请
    COMPUTERIZED SYSTEM AND METHOD FOR MODIFYING A MEDIA FILE BY AUTOMATICALLY APPLYING SECURITY FEATURES TO SELECT PORTIONS OF MEDIA FILE CONTENT 审中-公开

    公开(公告)号：US20170372046A1

    公开(公告)日：2017-12-28

    申请号：US15190315

    申请日：2016-06-23

    Applicant: Yahoo! Inc.

    Inventor： Bart Thomee ,  Lyndon Kennedy ,  Ioannis Kalantidis

    IPC: G06F21/14 ,  G06F21/62 ,  G06F17/30 ,  G06F17/27 ,  G06F21/31 ,  G06Q30/02 ,  G06F21/84

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, generating, securing and/or hosting systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the security and quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide added security features and functionality to media files through computerized, automated encoding and decoding of portions of media file content such that identified portions of the content are obfuscated upon display and communication to other users. The disclosed systems and methods provide a novel, computerized security feature(s) that protects data of media files from unintended exposure to third parties. The disclosed security features automatically prevent personal and/or private information from unwanted viewing and access from unauthenticated users.

    MEDIA EVENT STRUCTURE AND CONTEXT IDENTIFICATION USING SHORT MESSAGES
    9.
    发明申请
    MEDIA EVENT STRUCTURE AND CONTEXT IDENTIFICATION USING SHORT MESSAGES 有权
    媒体事件结构和使用短消息的语境识别

    公开(公告)号：US20150339289A1

    公开(公告)日：2015-11-26

    申请号：US14725574

    申请日：2015-05-29

    Applicant: YAHOO! INC.

    Inventor： David Ayman Shamma ,  Lyndon Kennedy ,  Elizabeth F. Churchill

    IPC: G06F17/27 ,  H04W4/14

    CPC classification number: G06F17/2765 ,  H04L51/32 ,  H04L67/22 ,  H04W4/14 ,  H04W4/20

    Abstract: The present disclosure is descriptive of discovering structure, content, and context of a media event, e.g., a live media event, using real-time discussions that unfold through short messaging services. Generally, a sampling of short messages of a plurality of users is obtained. The sampling of short messages corresponds to a media event. A segment in the media event is identified using the sampling of short messages, and at least one term taken from the sampling of short messages is identified. The at least one term is indicative of a context of the identified segment.

    Abstract translation: 本公开描述了使用通过短消息服务展现的实时讨论来发现媒体事件（例如，现场媒体事件）的结构，内容和上下文。 通常，获得多个用户的短消息的采样。 短消息的采样对应于媒体事件。 使用短消息的采样来识别媒体事件中的段，并且识别从短消息的采样中取得的至少一个项。 至少一个术语表示所识别的片段的上下文。

    Image cropping using supervised learning
    10.
    发明授权
    Image cropping using supervised learning 有权
    使用监督学习的图像裁剪

    公开(公告)号：US09177207B2

    公开(公告)日：2015-11-03

    申请号：US14599454

    申请日：2015-01-16

    Applicant: Yahoo! Inc.

    Inventor： Lyndon Kennedy ,  Roelof van Zwol ,  Nicolas Torzec ,  Belle Tseng

    IPC: G06K9/00 ,  G06T3/40 ,  G06T11/60 ,  G06K9/46 ,  G06K9/52 ,  G06K9/62

    CPC classification number: G06K9/00711 ,  G06K9/00228 ,  G06K9/46 ,  G06K9/4671 ,  G06K9/52 ,  G06K9/62 ,  G06K9/6201 ,  G06K2009/4666 ,  G06T3/40 ,  G06T11/60

    Abstract: Software for supervised learning extracts a set of pixel-level features from each source image in collection of source images. Each of the source images is associated with a thumbnail created by an editor. The software also generates a collection of unique bounding boxes for each source image. And the software calculates a set of region-level features for each bounding box. Each region-level feature results from the aggregation of pixel values for one of the pixel-level features. The software learns a regression model, using the calculated region-level features and the thumbnail associated with the source image. Then the software chooses a thumbnail from a collection of unique bounding boxes in a new image, based on application of the regression model. The software uses a thumbnail received from an editor instead of the chosen thumbnail, if the chosen thumbnail is of insufficient quality as measured against a scoring threshold.

    Abstract translation: 用于监督学习的软件在收集源图像时从每个源图像中提取一组像素级特征。 每个源图像与由编辑器创建的缩略图相关联。 该软件还为每个源图像生成一组独特的边界框。 并且软件为每个边界框计算一组区域级别的功能。 每个区域级别的特征来自于像素级特征之一的像素值的聚合。 该软件学习回归模型，使用计算的区域级功能和与源图像相关联的缩略图。 然后，软件根据回归模型的应用，从新图像中的独特边界框的集合中选择一个缩略图。 如果所选缩略图的质量不足，则根据评分阈值测量，软件将使用从编辑器接收的缩略图而不是所选的缩略图。

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