公开(公告)号：US09098807B1

公开(公告)日：2015-08-04

申请号：US14206685

申请日：2014-03-12

Applicant: Google Inc.

Inventor： Clifford Samaniego ,  David G. King ,  David A. Ross ,  Alexander Joshua Frank ,  Omid Madani ,  Kenji Arai ,  Ruei-Sung Lin

IPC: G06F9/44 ,  G06N7/02 ,  G06N7/06 ,  G06N5/02

CPC classification number: G06N5/022 ,  G06Q30/0201 ,  G06Q30/0241 ,  G06Q30/0251

Abstract: A video hosting service comprising video classifiers that identify content sources of content included in videos uploaded to the video hosting service. Identifying the content source allows a content owner of the content source to claim ownership of videos that include content based on the content source. Usage policies associated with the content owners are applied to the uploaded videos that describe how the video hosting service is to treat the videos.

Abstract translation: 一种视频托管服务，包括视频分类器，其识别上传到视频托管服务的视频中的内容的内容源。 识别内容源允许内容来源的内容所有者声称基于内容源包含内容的视频的所有权。 与内容所有者相关联的使用政策适用于上传的视频，描述视频托管服务如何对待视频。

公开(公告)号：US09830361B1

公开(公告)日：2017-11-28

申请号：US14096950

申请日：2013-12-04

Applicant: Google Inc.

Inventor： Balakrishnan Varadarajan ,  George Dan Toderici ,  Apostol Natsev ,  Weilong Yang ,  John Burge ,  Sanketh Shetty ,  Omid Madani

IPC: G06F17/30 ,  G06F17/27 ,  G06F17/24

CPC classification number: G06F17/3053 ,  G06F17/241 ,  G06F17/278 ,  G06F17/30598

Abstract: Facilitation of content entity annotation while maintaining joint quality, coverage and/or completeness performance conditions is provided. In one example, a system includes an aggregation component that aggregates signals indicative of initial entities for content and initial scores associated with the initial entities generated by one or more content annotation sources; and a mapping component that maps the initial scores to calibrated scores within a defined range. The system also includes a linear aggregation component that: applies selected weights to the calibrated scores, wherein the selected weights are based on joint performance conditions; and combines the weighted, calibrated scores based on a selected linear aggregation model of a plurality of linear aggregation models to generate a final score. The system also includes an annotation component that determines whether to annotate the content with one of the initial entities based on a comparison of the final score and a defined threshold value.