公开(公告)号：US20100191689A1

公开(公告)日：2010-07-29

申请号：US12392987

申请日：2009-02-25

申请人： Corinna Cortes ,  Sanjiv Kumar ,  Ameesh Makadia ,  Gideon Mann ,  Jay Yagnik ,  Ming Zhao

发明人： Corinna Cortes ,  Sanjiv Kumar ,  Ameesh Makadia ,  Gideon Mann ,  Jay Yagnik ,  Ming Zhao

IPC分类号： G06N5/02 ,  H04N7/10

CPC分类号： H04N21/2407 ,  G06F16/735 ,  G06F16/78 ,  G06F16/783 ,  G06F16/7867 ,  G06K9/00711 ,  H04N21/23418 ,  H04N21/25883 ,  H04N21/4668 ,  H04N21/4826

摘要： A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.

摘要翻译： 视频人口统计分析系统选择用于将观众人口特征和视频内容数据相关联的一组视频。 视频人口统计分析系统从与训练集中的视频相关的观众简档中提取人口统计学数据，并创建一组人口分布，并从训练集中的视频中提取视频数据。 视频人口统计分析系统将观众人口统计学与观众观看的视频的视频数据相关联。 使用机器学习过程产生的预测模型，可以将预测的人口分布与预测的人口分布相关联，所述预测人口统计分布规定了给定人口统计学类别中的不同类型的人的视频的概率，例如人 在不同年龄的人口统计学类别。

公开(公告)号：US08990108B1

公开(公告)日：2015-03-24

申请号：US13341509

申请日：2011-12-30

申请人： Gideon S. Mann ,  Ameesh Makadia ,  Shanmugavelayutham Muthukrishnan

发明人： Gideon S. Mann ,  Ameesh Makadia ,  Shanmugavelayutham Muthukrishnan

IPC分类号： G06F17/00

CPC分类号： G06Q30/08 ,  G06Q30/0261

摘要： A computer-implemented method for presenting content based on information detected in real time includes: receiving first information corresponding to detection of at least attendance at a physical location; selecting, in real time with the detection, at least one winning bid based on the first information, the at least one winning bid conditioned on the first information meeting an attendance criterion; and providing at least one winning content item associated with the selected winning bid to a content presentation device at the physical location.

摘要翻译： 一种基于实时检测的信息呈现内容的计算机实现方法包括：接收对应于至少在物理位置出席的检测的第一信息; 基于所述第一信息，实时选择所述检测的至少一个中标，所述至少一个获胜投标以所述第一信息为条件，满足考勤标准; 以及在所述物理位置处向所述内容呈现设备提供与所选择的获胜出价相关联的至少一个获胜内容项。

公开(公告)号：US20120109858A1

公开(公告)日：2012-05-03

申请号：US12914653

申请日：2010-10-28

申请人： Ameesh Makadia ,  Jason E. Weston

发明人： Ameesh Makadia ,  Jason E. Weston

IPC分类号： G06F17/30 ,  G06F15/18

CPC分类号： G06F17/30029 ,  G06F17/30026 ,  G06F17/30047 ,  G06F17/3005

摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing joint image-audio queries. In one aspect, a method includes receiving, from a client device, a joint image-audio query including query image data and query audio data. Query image feature data is determined from the query image data. Query audio feature data is determined from the audio data. The query image feature data and the query audio feature data are provided to a joint image-audio relevance model trained to generate relevance scores for a plurality of resources, each resource including resource image data defining a resource image for the resource and text data defining resource text for the resource. Each relevance score is a measure of the relevance of corresponding resource to the joint image-audio query. Data defining search results indicating the order of the resources is provided to the client device.

摘要翻译： 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于处理联合图像 - 音频查询。 一方面，一种方法包括从客户端设备接收包括查询图像数据和查询音频数据的联合图像 - 音频查询。 从查询图像数据确定查询图像特征数据。 从音频数据确定查询音频特征数据。 将查询图像特征数据和查询音频特征数据提供给被训练为生成多个资源的相关性分数的联合图像 - 音频相关性模型，每个资源包括定义资源的资源图像的资源图像数据和定义资源的文本数据 资源的文本。 每个相关性分数是对应资源与联合图像 - 音频查询的相关性的度量。 将指示资源顺序的搜索结果的数据提供给客户端设备。

公开(公告)号：US08781231B1

公开(公告)日：2014-07-15

申请号：US12547303

申请日：2009-08-25

申请人： Sanjiv Kumar ,  Henry A. Rowley ,  Ameesh Makadia

发明人： Sanjiv Kumar ,  Henry A. Rowley ,  Ameesh Makadia

IPC分类号： G06K9/54

CPC分类号： G06F17/30274 ,  G06F17/30247 ,  G06K9/6215 ,  G06K9/6224 ,  G06K2209/27

摘要： Methods, systems, and apparatus, including computer program products, for ranking search results for queries. The method includes calculating a visual similarity score for one or more pairs of images in a plurality of images based on visual features of images in each of the one or more pairs; building a graph of images by linking each of one or more images in the plurality of images to one or more nearest neighbor images based on the visual similarity scores; associating a respective score with each of one or more images in the graph based on data indicative of user behavior relative to the image as a search result for a query; and determining a new score for each of one or more images in the graph based on the respective score of the image, and the respective scores of one or more nearest neighbors to the image.

摘要翻译： 方法，系统和装置，包括计算机程序产品，用于对查询的搜索结果进行排名。 该方法包括基于一个或多个对中的每一个中的图像的视觉特征来计算多个图像中的一对或多对图像的视觉相似性分数; 通过基于所述视觉相似性得分将所述多个图像中的一个或多个图像的每一个链接到一个或多个最近邻图像来构建图像的图; 基于表示用户相对于图像的行为的数据作为查询的搜索结果，将各个分数与图中的一个或多个图像中的每一个相关联; 以及基于所述图像的相应分数以及所述图像的一个或多个最近邻居的各个分数来确定所述图中的一个或多个图像中的每一个的新分数。

公开(公告)号：US08606774B1

公开(公告)日：2013-12-10

申请号：US12782188

申请日：2010-05-18

申请人： Ameesh Makadia ,  Brian Brewington ,  Mark Limber ,  Corey Michael Joshua Goldfeder ,  Walter Thatcher Ulrich

发明人： Ameesh Makadia ,  Brian Brewington ,  Mark Limber ,  Corey Michael Joshua Goldfeder ,  Walter Thatcher Ulrich

IPC分类号： G06F17/30 ,  G06F3/048 ,  G09G5/02

CPC分类号： G06F3/048 ,  G06F3/04815 ,  G06F17/30 ,  G09G5/02 ,  Y10S715/968

摘要： Systems and methods for 3D shape retrieval are described herein. An embodiment includes obtaining a query 3D model, determining a similarity between the query 3D model and one or more 3D models based on a plurality of features of the query 3D model and corresponding features of the one or more 3D models, retrieving one or more similar 3D models based on the determining step and ranking the one or more similar 3D models based on the similarity. The embodiment further includes computing a feature distance between the query 3D model and the one or more 3D models for each feature, from a first set of features, associated with the query 3D model and the one or more 3D models and evaluating a first composite distance function using each feature distance. Another embodiment includes constructing a retrieval structure using each of the one or more 3D models for each feature associated with the one or more 3D models and searching the retrieval structure, for each feature, to determine 3D models similar to the query 3D model.

摘要翻译： 本文描述了用于3D形状检索的系统和方法。 一个实施例包括获得查询3D模型，基于查询3D模型的多个特征和所述一个或多个3D模型的对应特征来确定查询3D模型与一个或多个3D模型之间的相似性，检索一个或多个相似 基于确定步骤的3D模型并且基于相似性对一个或多个相似的3D模型进行排序。 该实施例还包括从与查询3D模型和一个或多个3D模型相关联的第一组特征计算每个特征的查询3D模型和一个或多个3D模型之间的特征距离，以及评估第一复合距离 功能使用每个特征距离。 另一个实施例包括使用与一个或多个3D模型相关联的每个特征的一个或多个3D模型中的每一个构建检索结构，并且针对每个特征搜索检索结构以确定类似于查询3D模型的3D模型。

公开(公告)号：US20130198601A1

公开(公告)日：2013-08-01

申请号：US13799307

申请日：2013-03-13

申请人： Ameesh Makadia ,  Sanjiv Kumar

发明人： Ameesh Makadia ,  Sanjiv Kumar

IPC分类号： G06F17/24

CPC分类号： G06F17/241 ,  G06F17/30265 ,  G06K9/00664 ,  G06K9/46

摘要： Methods, systems, and apparatus, including computer program products, for generating data for annotating images automatically. In one aspect, a method includes receiving an input image, identifying one or more nearest neighbor images of the input image from among a collection of images, in which each of the one or more nearest neighbor images is associated with a respective one or more image labels, assigning a plurality of image labels to the input image, in which the plurality of image labels are selected from the image labels associated with the one or more nearest neighbor images, and storing in a data repository the input image having the assigned plurality of image labels. In another aspect, a method includes assigning a single image label to the input image, in which the single image label is selected from labels associated with multiple ranked nearest neighbor images.

公开(公告)号：US08301498B1

公开(公告)日：2012-10-30

申请号：US13488126

申请日：2012-06-04

申请人： Corinna Cortes ,  Sanjiv Kumar ,  Ameesh Makadia ,  Gideon Mann ,  Jay Yagnik ,  Ming Zhao

发明人： Corinna Cortes ,  Sanjiv Kumar ,  Ameesh Makadia ,  Gideon Mann ,  Jay Yagnik ,  Ming Zhao

IPC分类号： G06Q30/00 ,  G06N5/02

CPC分类号： H04N21/2407 ,  G06F17/30784 ,  G06F17/30817 ,  G06F17/3082 ,  G06F17/30828 ,  G06K9/00711 ,  H04N21/23418 ,  H04N21/25883 ,  H04N21/4668 ,  H04N21/4826

摘要： A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.

摘要翻译： 视频人口统计分析系统选择用于将观众人口特征和视频内容数据相关联的一组视频。 视频人口统计分析系统从与训练集中的视频相关的观众简档中提取人口统计学数据，并创建一组人口分布，并从训练集中的视频中提取视频数据。 视频人口统计分析系统将观众人口统计学与观众观看的视频的视频数据相关联。 使用机器学习过程产生的预测模型，可以将预测的人口分布与预测的人口分布相关联，所述预测人口统计分布规定了给定人口统计学类别中的不同类型的人的视频的概率，例如人 在不同年龄的人口统计学类别。

公开(公告)号：US20090304272A1

公开(公告)日：2009-12-10

申请号：US12425910

申请日：2009-04-17

申请人： Ameesh Makadia ,  Sanjiv Kumar

发明人： Ameesh Makadia ,  Sanjiv Kumar

IPC分类号： G06K9/68 ,  G06K9/00

CPC分类号： G06F17/241 ,  G06F17/30265 ,  G06K9/00664 ,  G06K9/46

摘要： Methods, systems, and apparatus, including computer program products, for generating data for annotating images automatically. In one aspect, a method includes receiving an input image, identifying one or more nearest neighbor images of the input image from among a collection of images, in which each of the one or more nearest neighbor images is associated with a respective one or more image labels, assigning a plurality of image labels to the input image, in which the plurality of image labels are selected from the image labels associated with the one or more nearest neighbor images, and storing in a data repository the input image having the assigned plurality of image labels. In another aspect, a method includes assigning a single image label to the input image, in which the single image label is selected from labels associated with multiple ranked nearest neighbor images.

摘要翻译： 方法，系统和装置，包括计算机程序产品，用于自动生成用于注释图像的数据。 一方面，一种方法包括接收输入图像，从图像集合中识别输入图像的一个或多个最近邻图像，其中所述一个或多个最近邻图像中的每一个与相应的一个或多个图像相关联 标签，将多个图像标签分配给输入图像，其中从与一个或多个最近邻图像相关联的图像标签中选择多个图像标签，并且在数据存储库中存储具有分配的多个图像标签的输入图像 图像标签。 在另一方面，一种方法包括向输入图像分配单个图像标签，其中从与多个排序的最邻近图像相关联的标签中选择单个图像标签。

公开(公告)号：US08788434B2

公开(公告)日：2014-07-22

申请号：US12914653

申请日：2010-10-28

申请人： Ameesh Makadia ,  Jason E. Weston

发明人： Ameesh Makadia ,  Jason E. Weston

IPC分类号： G06F15/18

CPC分类号： G06F17/30029 ,  G06F17/30026 ,  G06F17/30047 ,  G06F17/3005

摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing joint image-audio queries. In one aspect, a method includes receiving, from a client device, a joint image-audio query including query image data and query audio data. Query image feature data is determined from the query image data. Query audio feature data is determined from the audio data. The query image feature data and the query audio feature data are provided to a joint image-audio relevance model trained to generate relevance scores for a plurality of resources, each resource including resource image data defining a resource image for the resource and text data defining resource text for the resource. Each relevance score is a measure of the relevance of corresponding resource to the joint image-audio query. Data defining search results indicating the order of the resources is provided to the client device.

摘要翻译： 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于处理联合图像 - 音频查询。 一方面，一种方法包括从客户端设备接收包括查询图像数据和查询音频数据的联合图像 - 音频查询。 从查询图像数据确定查询图像特征数据。 从音频数据确定查询音频特征数据。 将查询图像特征数据和查询音频特征数据提供给被训练为生成多个资源的相关性分数的联合图像 - 音频相关性模型，每个资源包括定义资源的资源图像的资源图像数据和定义资源的文本数据 资源的文本。 每个相关性分数是对应资源与联合图像 - 音频查询的相关性的度量。 将指示资源顺序的搜索结果的数据提供给客户端设备。

公开(公告)号：US08686992B1

公开(公告)日：2014-04-01

申请号：US12750203

申请日：2010-03-30

申请人： Ameesh Makadia

发明人： Ameesh Makadia

IPC分类号： G06T15/00

CPC分类号： G06F17/30 ,  G06F17/30277 ,  G06K9/00214

摘要： Methods and systems for 3D shape retrieval are described herein. An embodiment includes receiving a query 3D model, extracting a plurality of features of the query 3D model, comparing the features of the 3D query model against a plurality of features of one or more 3D models in a repository, calculating a similarity score based on the comparing step, ranking the 3D models based on the similarity score and returning one or more 3D models based on the ranking step. The embodiment further includes generating a representation of the query 3D model, calculating a correlation matching function between the representation of the query 3D model and representations of 3D models in the repository, determining a plurality of matching scores between the query 3D model and the 3D models in the repository for each rotational alignment of the 3D models and selecting the highest score from the plurality of matching scores based on the determining step.

摘要翻译： 本文描述了用于3D形状检索的方法和系统。 一个实施例包括接收查询3D模型，提取查询3D模型的多个特征，将3D查询模型的特征与存储库中的一个或多个3D模型的多个特征进行比较，基于 比较步骤，基于相似性得分对3D模型进行排序，并基于排序步骤返回一个或多个3D模型。 该实施例还包括生成查询3D模型的表示，计算查询3D模型的表示和存储库中的3D模型的表示之间的相关匹配函数，确定查询3D模型和3D模型之间的多个匹配分数 在用于3D模型的每个旋转对准的存储库中，并且基于确定步骤从多个匹配分数中选择最高分数。