公开(公告)号：US20130339433A1

公开(公告)日：2013-12-19

申请号：US13523927

申请日：2012-06-15

申请人： Kevin Ansia Li ,  Alex Varshavsky ,  Xuan Bao ,  Romit Roy Choudhury ,  Songchun Fan

发明人： Kevin Ansia Li ,  Alex Varshavsky ,  Xuan Bao ,  Romit Roy Choudhury ,  Songchun Fan

IPC分类号： G06F15/16

CPC分类号： H04N21/4756 ,  G06K9/00 ,  H04N21/4667

摘要： A system that incorporates teachings of the subject disclosure may include, for example, receiving segment ratings and semantic labels associated with media content from a group of first communication devices, analyzing the segment ratings and the semantic labels to identify universal segments among the plurality of segments that satisfy a threshold based on common segment ratings and common semantic labels; and providing universal reactions and an identification of the universal segments to a second communication device for generation of a content rating for the media content based on the universal segments and reaction data collected by sensors of the second communication device, where the universal reactions are representative of the common segment ratings and the common semantic labels for the universal segments. Other embodiments are disclosed.

摘要翻译： 结合本公开的教导的系统可以包括例如从一组第一通信设备接收与媒体内容相关联的分段评级和语义标签，分析分段评级和语义标签以识别多个分段之间的通用分段 满足基于公共分段等级和公共语义标签的阈值; 以及根据通用分段和由第二通信设备的传感器收集的反应数据，为通用分段提供普遍反应和识别通用分段到第二通信设备，用于为媒体内容生成内容分级，其中通用反应代表 通用分段评级和通用分段的通用语义标签。 公开了其他实施例。

公开(公告)号：US20120071174A1

公开(公告)日：2012-03-22

申请号：US12885914

申请日：2010-09-20

申请人： Xuan Bao ,  Uichin Lee ,  Ivica Rimac

发明人： Xuan Bao ,  Uichin Lee ,  Ivica Rimac

IPC分类号： H04W24/02 ,  H04W24/00

CPC分类号： H04W48/16 ,  H04W4/02

摘要： Methods determine data spots in a network by identifying a transmission resource and its characteristics so as to determine geography of a data spot. Users are then directed to, locate, and/or move to the data spot and retrieve desired content. Users may be directed to the determined data spot, with a map or compass. Transmission resources include ad hoc hotspots for need by sideloading network users in a communicative proximity. Methods may match characteristics of the requesting network user with determined transmission resources to position a data spot. Example methods may be configured based on amounts of network resources consumed, third-party costs to a user, maximizing user experience by providing nearer and faster data spots, and/or any other desired criteria. Different portions of the methods may be performed by the network, the user, and/or third-parties, to reduce network burden while supplying users with desired content through data spots.

摘要翻译： 方法通过识别传输资源及其特征来确定网络中的数据点，以便确定数据点的地理位置。 然后将用户定向到，定位和/或移动到数据点并检索所需的内容。 用户可以使用地图或指南针定向到确定的数据点。 传输资源包括通过在通信上接近网络用户侧向加载需要的ad hoc热点。 方法可以将请求网络用户的特征与确定的传输资源相匹配以定位数据点。 可以基于消耗的网络资源量，用户的第三方成本，通过提供更接近和更快的数据点来最大化用户体验，和/或任何其它期望的标准来配置示例性方法。 方法的不同部分可以由网络，用户和/或第三方执行，以减少网络负担，同时通过数据点向用户提供期望的内容。

公开(公告)号：US08914041B2

公开(公告)日：2014-12-16

申请号：US12885914

申请日：2010-09-20

申请人： Xuan Bao ,  Uichin Lee ,  Ivica Rimac

发明人： Xuan Bao ,  Uichin Lee ,  Ivica Rimac

IPC分类号： H04W24/02 ,  H04W24/00 ,  H04W48/16 ,  H04W4/02

CPC分类号： H04W48/16 ,  H04W4/02

摘要： Methods determine data spots in a network by identifying a transmission resource and its characteristics so as to determine geography of a data spot. Users are then directed to, locate, and/or move to the data spot and retrieve desired content. Users may be directed to the determined data spot, with a map or compass. Transmission resources include ad hoc hotspots for need by sideloading network users in a communicative proximity. Methods may match characteristics of the requesting network user with determined transmission resources to position a data spot. Example methods may be configured based on amounts of network resources consumed, third-party costs to a user, maximizing user experience by providing nearer and faster data spots, and/or any other desired criteria. Different portions of the methods may be performed by the network, the user, and/or third-parties, to reduce network burden while supplying users with desired content through data spots.

摘要翻译： 方法通过识别传输资源及其特征来确定网络中的数据点，以便确定数据点的地理位置。 然后将用户定向到，定位和/或移动到数据点并检索所需的内容。 用户可以使用地图或指南针定向到确定的数据点。 传输资源包括通过在通信上接近网络用户侧向加载需要的ad hoc热点。 方法可以将请求网络用户的特征与确定的传输资源相匹配以定位数据点。 可以基于消耗的网络资源量，用户的第三方成本，通过提供更接近和更快的数据点来最大化用户体验，和/或任何其它期望的标准来配置示例性方法。 方法的不同部分可以由网络，用户和/或第三方执行，以减少网络负担，同时通过数据点向用户提供期望的内容。

公开(公告)号：US20130159223A1

公开(公告)日：2013-06-20

申请号：US13330457

申请日：2011-12-19

申请人： Paramvir Bahl ,  Aman Kansal ,  Romit Roy Choudhury ,  David Chiyuan Chu ,  Alastair Wolman ,  Jie Liu ,  Xuan Bao

发明人： Paramvir Bahl ,  Aman Kansal ,  Romit Roy Choudhury ,  David Chiyuan Chu ,  Alastair Wolman ,  Jie Liu ,  Xuan Bao

IPC分类号： G06F15/18 ,  G06N5/04

CPC分类号： G01D1/00 ,  G06N5/04

摘要： Embodiments include processes, systems, and devices for developing a virtual sensor. The virtual sensor includes one or more inference models. A decision engine utilizes an inference model associated with a mobile device to determine another inference model that is configured to accept physical sensor data from another mobile device. In this way, the virtual sensor can be developed for use with many mobile devices using initial inference models developed for a small number of mobile devices or a single mobile device. Embodiments also include methods to select mobile devices from which to request physical sensor data for virtual sensor input. Embodiments also include architectures that provide a library of virtual sensors.

摘要翻译： 实施例包括用于开发虚拟传感器的过程，系统和设备。 虚拟传感器包括一个或多个推理模型。 决策引擎利用与移动设备相关联的推理模型来确定被配置为从另一移动设备接收物理传感器数据的另一推理模型。 以这种方式，虚拟传感器可以开发用于许多移动设备，使用为少数移动设备或单个移动设备开发的初始推理模型。 实施例还包括选择移动设备的方法，从中请求用于虚拟传感器输入的物理传感器数据。 实施例还包括提供虚拟传感器库的架构。

公开(公告)号：US08775337B2

公开(公告)日：2014-07-08

申请号：US13330457

申请日：2011-12-19

申请人： Paramvir Bahl ,  Aman Kansal ,  Romit Roy Choudhury ,  David Chiyuan Chu ,  Alastair Wolman ,  Jie Liu ,  Xuan Bao

发明人： Paramvir Bahl ,  Aman Kansal ,  Romit Roy Choudhury ,  David Chiyuan Chu ,  Alastair Wolman ,  Jie Liu ,  Xuan Bao

IPC分类号： G06F15/18

CPC分类号： G01D1/00 ,  G06N5/04

摘要： Embodiments include processes, systems, and devices for developing a virtual sensor. The virtual sensor includes one or more inference models. A decision engine utilizes an inference model associated with a mobile device to determine another inference model that is configured to accept physical sensor data from another mobile device. In this way, the virtual sensor can be developed for use with many mobile devices using initial inference models developed for a small number of mobile devices or a single mobile device. Embodiments also include methods to select mobile devices from which to request physical sensor data for virtual sensor input. Embodiments also include architectures that provide a library of virtual sensors.

摘要翻译： 实施例包括用于开发虚拟传感器的过程，系统和设备。 虚拟传感器包括一个或多个推理模型。 决策引擎利用与移动设备相关联的推理模型来确定被配置为从另一移动设备接收物理传感器数据的另一推理模型。 以这种方式，虚拟传感器可以开发用于许多移动设备，使用为少数移动设备或单个移动设备开发的初始推理模型。 实施例还包括选择移动设备的方法，从中请求用于虚拟传感器输入的物理传感器数据。 实施例还包括提供虚拟传感器库的架构。