公开(公告)号：US20170171294A1

公开(公告)日：2017-06-15

申请号：US14969795

申请日：2015-12-15

Applicant: YAHOO! INC.

Inventor： Lyndon Kennedy ,  Vikas Kumar ,  David Ayman Shamma

IPC: H04L29/08 ,  G06F17/30

CPC classification number: H04L67/06 ,  G06F17/3053 ,  G06F17/30864 ,  H04L67/18 ,  H04W4/023 ,  H04W4/21

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing 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 quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically determine media content to communicate to a user based on the user's location. The disclosed systems and methods enable novel media content distribution to a user based on 1) the location of the user (i.e., physical location or geo-location), 2) other users' classified relationships to the location; and 3) user generated media content by the classified other users.

公开(公告)号：US20150131900A1

公开(公告)日：2015-05-14

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 ,  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。

公开(公告)号：US20150052548A1

公开(公告)日：2015-02-19

申请号：US13965934

申请日：2013-08-13

Applicant: Yahoo! Inc.

Inventor： Lyndon Kennedy ,  Tomasz Gulik

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

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。