公开(公告)号：US20160328100A1

公开(公告)日：2016-11-10

申请号：US15216484

申请日：2016-07-21

Applicant: Google Inc.

Inventor： Shivakumar Littoo Rajaraman ,  Stein Eldar Johnsen ,  Jonas Yngvesson ,  Jasmine Langridge ,  Elena Kaschner ,  Jun Li ,  Matias Cudich ,  Thomas Robinson Purnell-Fisher

IPC: G06F3/0482 ,  G06F3/0484

CPC classification number: G06F3/0482 ,  G06F3/04847 ,  G06F17/30 ,  G06F17/30058 ,  H04L65/4092 ,  H04L65/60

Abstract: This disclosure relates to adaptive content control and display for internet media. A playback component provides for playback of media content. An input component detects user inputs during playback of the content. In response to the user inputs being detected, a menu component displays a level of a pivot menu during playback of the content. The pivot menu is displayed on top, or in front, of a portion of the content during playback, and the pivot menu can be at least partially transparent to enable consumption of the content to continue without complete obstruction.

Abstract translation: 本公开涉及互联网媒体的自适应内容控制和显示。 播放组件提供媒体内容的播放。 输入组件在播放内容期间检测用户输入。 响应于检测到的用户输入，菜单组件在播放内容期间显示枢轴菜单的级别。 在回放期间，枢轴菜单显示在内容的一部分的顶部或前面，并且枢轴菜单可以至少部分地透明以使内容的消耗能够在没有完全阻塞的情况下继续进行。

公开(公告)号：US20160027037A1

公开(公告)日：2016-01-28

申请号：US14470653

申请日：2014-08-27

Applicant: Google Inc.

Inventor： Congxing Cai ,  Iman Sadeghi ,  Farnaz Azmoodeh ,  Aaron Shon ,  Jonas Yngvesson ,  Reto Strobl

IPC: G06Q30/02

CPC classification number: G06Q30/0243 ,  G06Q30/0246

Abstract: Systems, methods, and computer-readable storage media that may be used to attribute events such as clicks and conversions to impressions are provided. One method includes determining a local time and a timezone associated with each of a plurality of events of a content campaign. The method further includes generating a first event grouping including a first set of events having timezones matching at least one grouping timezones. The method further includes generating a second event grouping including a second set of the events based on both the local times and the timezones of the events. Generating the second event grouping includes selecting the second set of events based on the local times of the events in view of the timezones of the events. The method further includes, for each grouping, determining a number of events associated with frequency groups based on a number of impression events associated with the events.

Abstract translation: 提供了可用于将诸如点击和转化等事件归因于展示的系统，方法和计算机可读存储介质。 一种方法包括确定与内容活动的多个事件中的每一个相关联的本地时间和时区。 该方法还包括生成包括具有与至少一个分组时区相匹配的时区的第一组事件的第一事件分组。 该方法还包括基于事件的本地时间和时区两者来生成包括第二组事件的第二事件分组。 生成第二事件分组包括考虑到事件的时区，基于事件的本地时间选择第二组事件。 该方法还包括，对于每个分组，基于与事件相关联的多个展示事件来确定与频率组相关联的事件的数量。

公开(公告)号：USD819671S1

公开(公告)日：2018-06-05

申请号：US29575418

申请日：2016-08-24

Applicant: Google Inc.

Designer： Shivakumar Littoo Rajaraman ,  Stein Eldar Johnsen ,  Jonas Yngvesson ,  Jasmine Kent ,  Elena Digor ,  Jun Li ,  Matias Cudich

公开(公告)号：USD768165S1

公开(公告)日：2016-10-04

申请号：US29506701

申请日：2014-10-19

Applicant: Google Inc.

Designer： Shivakumar Littoo Rajaraman ,  Stein Eldar Johnsen ,  Jonas Yngvesson ,  Jasmine Kent ,  Elena Digor ,  Jun Li ,  Matias Cudich

公开(公告)号：US20140325401A1

公开(公告)日：2014-10-30

申请号：US14327003

申请日：2014-07-09

Applicant: Google Inc.

Inventor： Mirjam Wattenhofer ,  Tom Broxton ,  Anders Brodersen ,  Jonas Yngvesson ,  Jakub Petrykowski

IPC: G06F17/22 ,  H04L12/26

CPC classification number: G06F17/2247 ,  G06Q30/0201 ,  G06Q50/01 ,  H04L43/04 ,  H04N21/44204

Abstract: The present invention enables methods and systems that identify viral videos. A viral video is a video which received a percentage of its views from one person sharing the video with another person. That is, a viral video received most of its views from person to person sharing. A video hosting server determines whether a video is a viral video based at least in part on views the video received through person to person sharing and the total number of views the video has received.

Abstract translation: 本发明实现了识别病毒视频的方法和系统。 病毒视频是一个视频，从一个人与另一个人共享视频，其视图的百分比。 也就是说，病毒式视频从人与人共享中获得了大部分观点。 视频托管服务器至少部分地基于通过个人对人共享接收的视频以及视频接收的视图的总数来确定视频是否为病毒视频。