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公开(公告)号：US09369354B1
公开(公告)日：2016-06-14
申请号：US14080190
申请日：2013-11-14
Applicant: Google Inc.
Inventor： Yan Tseytlin , Mehmet Emre Sargin
IPC: G06F15/173 , H04L12/24
CPC classification number: H04L67/22 , G06Q30/02 , H04L67/20 , H04L67/306
Abstract: A system and method for determining related content to serve based on connectivity is provided. The system includes a connectivity analyzer to analyze an aspect of the connectivity of the detected access to the content sharing service; a vector aggregator to create an access vector based on the analyzed aspect of the connectivity; and a related content retriever to retrieve related content based on the access vector.
Abstract translation: 提供了一种用于基于连接来确定要服务的相关内容的系统和方法。 该系统包括连接分析器，用于分析检测到的对内容共享服务的访问的连接性的一个方面; 矢量聚合器，用于基于分析的连通性方面创建访问向量; 以及相关内容检索器，用于基于访问向量检索相关内容。
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公开(公告)号：US09715641B1
公开(公告)日：2017-07-25
申请号：US14585075
申请日：2014-12-29
Applicant: Google Inc.
Inventor： Vivek Kwatra , Ullas Gargi , Mehmet Emre Sargin , Henry Hao Tang
CPC classification number: G06K9/6256 , G06K9/00536 , G06K9/00724 , G06K9/46 , G06K9/4647 , G06K2009/00738 , G06N99/005
Abstract: A highlight learning technique is provided to detect and identify highlights in sports videos. A set of event models are calculated from low-level frame information of the sports videos to identify recurring events within the videos. The event models are used to characterize videos by detecting events within the videos and using the detected events to generate an event vector. The event vector is used to train a classifier to identify the videos as highlight or non-highlight.
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公开(公告)号：US20180365295A1
公开(公告)日：2018-12-20
申请号：US14071317
申请日：2013-11-04
Applicant: Google Inc.
Inventor： Matthew Paff , Gaurav Garg , Ramakrishnan Kandhan , Awaneesh Verma , Chetan Narain , Omkar Muralidharan , Mehmet Emre Sargin , Ming Yang , David Adams
IPC: G06F17/30
Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. One or more content items are identified that are eligible to be presented in response to received requests in accordance with one or more selection criteria. One of the content items includes one or more parameters that can be varied. A range is identified over which a parameter of the one or more parameters is variable, and a subset of the range is identified, wherein the subset is less than the entire range. A request for content is received that is satisfied by the content item. The content item is prepared, including randomly selecting a value for the parameter that is within the subset of the range. At least one performance aspect associated with the prepared one content item is monitored.
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公开(公告)号：US20170323178A1
公开(公告)日：2017-11-09
申请号：US15656566
申请日：2017-07-21
Applicant: Google Inc.
Inventor： Vivek Kwatra , Ullas Gargi , Mehmet Emre Sargin , Henry Hao Tang
CPC classification number: G06K9/6256 , G06K9/00536 , G06K9/00724 , G06K9/46 , G06K9/4647 , G06K2009/00738 , G06N20/00
Abstract: A highlight learning technique is provided to detect and identify highlights in sports videos. A set of event models are calculated from low-level frame information of the sports videos to identify recurring events within the videos. The event models are used to characterize videos by detecting events within the videos and using the detected events to generate an event vector. The event vector is used to train a classifier to identify the videos as highlight or non-highlight.
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