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公开(公告)号：US07274822B2
公开(公告)日：2007-09-25
申请号：US10609974
申请日：2003-06-30
申请人： Lei Zhang , Longbin Chen , Mingjing Li , Hong-Jiang Zhang
发明人： Lei Zhang , Longbin Chen , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06K9/62
CPC分类号： G06F17/30265 , G06K9/00288 , G06K2009/00328
摘要： Systems and methods for annotating a face in a digital image are described. In one aspect, a probability model is trained by mapping one or more sets of sample facial features to corresponding names of individuals. A face from an input data set of at least one the digital image is then detected. Facial features are then automatically extracted from the detected face. A similarity measure is them modeled as a posterior probability that the facial features match a particular set of features identified in the probability model. The similarity measure is statistically learned. A name is then inferred as a function of the similarity measure. The face is then annotated with the name.
摘要翻译： 描述了用于在数字图像中注释面部的系统和方法。 在一个方面，通过将一组或多组样本面部特征映射到个人的相应名称来训练概率模型。 然后检测来自至少一个数字图像的输入数据集的面。 然后从检测到的脸部自动提取面部特征。 相似性度量是他们被模型化为面部特征与在概率模型中识别的特定特征集合相匹配的后验概率。 统计学习相似性度量。 然后将该名称推定为相似性度量的函数。 然后用该名称注明脸部。
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公开(公告)号：US20100054540A1
公开(公告)日：2010-03-04
申请号：US12200059
申请日：2008-08-28
CPC分类号： G06K9/6267 , G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.
摘要翻译： 提供了一种用于校准分类系统的技术，其中至少一个视频中的一个或多个对象被分类。 获得与至少一个视频相关联的至少一个视图。 至少一个视图被划分为至少一个区域。 给定对象根据其位置参照至少一个区域进行分类。 在另外的实施例中，获得一个或多个对象模型。 根据一个或多个对象模型，在与至少一个视频相关联的至少一个视图内定义一个或多个对象的至少一个归一化大小。 根据至少一个定义的归一化尺寸对一个或多个对象进行分类。
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公开(公告)号：US20100054535A1
公开(公告)日：2010-03-04
申请号：US12200017
申请日：2008-08-28
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US08744978B2
公开(公告)日：2014-06-03
申请号：US12506926
申请日：2009-07-21
申请人： Ziming Zhuang , Longbin Chen
发明人： Ziming Zhuang , Longbin Chen
CPC分类号： G06F17/30 , G06F17/30696 , G06F17/30864
摘要： In one embodiment, ranking search results generated in response to search queries comprises: receiving, a search query from a user; identifying a plurality of network contents in response to the search query; determining one or more ranking criteria for the search query; presenting the ranking criteria to the user; receiving from the user one or more weights assigned to one or more of the ranking criteria; ranking the identified network contents based on the ranking criteria and the weights; and presenting the network contents to the user in an order according to their ranking.
摘要翻译： 在一个实施例中，响应于搜索查询生成的排名搜索结果包括：从用户接收搜索查询; 响应于所述搜索查询来识别多个网络内容; 确定搜索查询的一个或多个排名标准; 向用户呈现排名标准; 从用户接收分配给一个或多个排序标准的一个或多个权重; 根据排名标准和权重对所识别的网络内容进行排名; 并根据用户的排名向用户呈现网络内容。
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公开(公告)号：US08520899B2
公开(公告)日：2013-08-27
申请号：US13525905
申请日：2012-06-18
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US08483490B2
公开(公告)日：2013-07-09
申请号：US12200059
申请日：2008-08-28
CPC分类号： G06K9/6267 , G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.
摘要翻译： 提供了一种用于校准分类系统的技术，其中至少一个视频中的一个或多个对象被分类。 获得与至少一个视频相关联的至少一个视图。 至少一个视图被划分为至少一个区域。 给定对象根据其位置参照至少一个区域进行分类。 在另外的实施例中，获得一个或多个对象模型。 根据一个或多个对象模型，在与至少一个视频相关联的至少一个视图内定义一个或多个对象的至少一个归一化大小。 根据至少一个定义的归一化尺寸对一个或多个对象进行分类。
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公开(公告)号：US08249301B2
公开(公告)日：2012-08-21
申请号：US12200017
申请日：2008-08-28
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US20110040769A1
公开(公告)日：2011-02-17
申请号：US12541063
申请日：2009-08-13
申请人： Huihsin Tseng , Longbin Chen , Yumao Lu , Fachun Peng
发明人： Huihsin Tseng , Longbin Chen , Yumao Lu , Fachun Peng
IPC分类号： G06F17/30
CPC分类号： G06F16/951
摘要： In one embodiment, access one or more pairs of search query and clicked Uniform Resource Locator (URL). For each of the pairs of search query and clicked URL, segment the search query into one or more query segments and the clicked URL into one or more URL segments; construct one or more query-URL n-grams, each of which comprises a query part comprising at least one of the query segments and a URL part comprising at least one of the URL segments; and calculate one or more association scores, each of which for one of the query-URL n-grams and represents a similarity between the query part and the URL part of the query-URL n-gram and is based on a first frequency of the query part and the URL part, a second frequency of the query part, and a third frequency of the URL part.
摘要翻译： 在一个实施例中，访问一对或多对搜索查询和点击的统一资源定位符（URL）。 对于每一对搜索查询和点击的URL，将搜索查询分割成一个或多个查询段，并将点击的URL分段成一个或多个URL段; 构造一个或多个查询URL n克，每个查询URL n-gram包括包括至少一个查询段的查询部分和包括至少一个URL段的URL部分; 并且计算一个或多个关联分数，其中每个关联分数中的每一个用于查询URL n-gram中的一个，并且表示查询部分与查询URL n-gram的URL部分之间的相似度，并且基于第一频率 查询部分和URL部分，查询部分的第二个频率，以及URL部分的第三个频率。
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公开(公告)号：US20120257793A1
公开(公告)日：2012-10-11
申请号：US13525905
申请日：2012-06-18
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US20110022549A1
公开(公告)日：2011-01-27
申请号：US12506926
申请日：2009-07-21
申请人： Ziming Zhuang , Longbin Chen
发明人： Ziming Zhuang , Longbin Chen
CPC分类号： G06F17/30 , G06F17/30696 , G06F17/30864
摘要： In one embodiment, ranking search results generated in response to search queries comprises: receiving, a search query from a user; identifying a plurality of network contents in response to the search query; determining one or more ranking criteria for the search query; presenting the ranking criteria to the user; receiving from the user one or more weights assigned to one or more of the ranking criteria; ranking the identified network contents based on the ranking criteria and the weights; and presenting the network contents to the user in an order according to their ranking.
摘要翻译： 在一个实施例中，响应于搜索查询生成的排名搜索结果包括：从用户接收搜索查询; 响应于所述搜索查询来识别多个网络内容; 确定搜索查询的一个或多个排名标准; 向用户呈现排名标准; 从用户接收分配给一个或多个排序标准的一个或多个权重; 根据排名标准和权重对所识别的网络内容进行排名; 并根据用户的排名向用户呈现网络内容。
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搜索结果
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