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71. 发明申请

US20120121194A1 VECTOR TRANSFORMATION FOR INDEXING, SIMILARITY SEARCH AND CLASSIFICATION 有权
标题翻译：用于索引，类似搜索和分类的矢量变换
公开(公告)号：US20120121194A1
公开(公告)日：2012-05-17
申请号：US13288706
申请日：2011-11-03
申请人： Jay Yagnik
发明人： Jay Yagnik
IPC分类号： G06K9/62 , G06K9/36
CPC分类号： G06F17/3002 , G06K2009/4695
摘要： A feature vector is encoded into a sparse binary vector. The feature vector is retrieved, for example from storage or a feature vector generator. The feature vector represents a media object or other data object. One or more permutations are generated, the dimensionality of the generated permutations equivalent to the dimensionality of the feature vector. The permutations may be generated randomly or formulaically. The feature vector is permuted with the one or more permutations, creating one or more permuted feature vectors. The permuted feature vectors are truncated according to a selected window size. The indexes representing the maximum values of the permuted feature vectors are identified and encoded using one-hot encoding, producing one or more sparse binary vectors. The sparse binary vectors may be concatenated into a single sparse binary vector and stored. The sparse binary vector may be used in the similarity search, indexing or categorization of media objects.
摘要翻译：特征向量被编码成稀疏二进制向量。例如从存储或特征向量生成器检索特征向量。特征向量表示媒体对象或其他数据对象。产生一个或多个排列，所产生的排列的维数等于特征向量的维数。排列可以随机或公式地产生。特征向量与一个或多个排列置换，创建一个或多个置换的特征向量。根据所选择的窗口尺寸来截断重排的特征向量。代表置换特征向量的最大值的索引使用单热编码进行识别和编码，产生一个或多个稀疏二进制向量。稀疏二进制向量可以被级联成单个稀疏二进制向量并被存储。稀疏二进制向量可以用于媒体对象的相似搜索，索引或分类。

72. 发明申请

US20120093375A1 IDENTIFYING IMAGES USING FACE RECOGNITION 有权
标题翻译：使用脸部识别识别图像
公开(公告)号：US20120093375A1
公开(公告)日：2012-04-19
申请号：US13324058
申请日：2011-12-13
申请人： Jay Yagnik
发明人： Jay Yagnik
IPC分类号： G06K9/46
CPC分类号： G06K9/00288 , G06F17/30247 , G06F17/30256 , G06K9/6256
摘要： A method includes identifying a named entity, retrieving images associated with the named entity, and using a face detection algorithm to perform face detection on the retrieved images to detect faces in the retrieved images. At least one representative face image from the retrieved images is identified, and the representative face image is used to identify one or more additional images representing the at least one named entity.
摘要翻译：一种方法包括识别命名实体，检索与命名实体相关联的图像，以及使用面部检测算法对检索到的图像执行面部检测，以检测检索到的图像中的面部。识别来自检索到的图像的至少一个代表性面部图像，并且使用代表性面部图像来识别表示至少一个命名实体的一个或多个附加图像。

73. 发明申请

US20120054205A1 INFERRING USER INTERESTS 有权
标题翻译：感染用户兴趣
公开(公告)号：US20120054205A1
公开(公告)日：2012-03-01
申请号：US13290455
申请日：2011-11-07
申请人： Shumeet Baluja , Yushi JING , Dandapani SIVAKUMAR , Jay YAGNIK
发明人： Shumeet Baluja , Yushi JING , Dandapani SIVAKUMAR , Jay YAGNIK
IPC分类号： G06F17/30
CPC分类号： G06N5/02 , G06N99/005 , G06Q30/0274
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes determining, for a portion of users of a social network, label values each comprising an inferred interest level of a user in a subject indicated by a label, associating a first user with one or more second users based on one or more relationships specified by the first user, and outputting a first label value for the first user based on one or more second label values of the one or more second users.
摘要翻译：本说明书的主题可以包括一种方法，其包括为社交网络的用户的一部分确定每个包括由标签指示的对象中的用户的推定的兴趣级别的标签值，基于由第一用户指定的一个或多个关系将第一用户与一个或多个第二用户相关联，并且基于一个或多个第二用户的一个或多个第二标签值输出第一用户的第一标签值。

74. 发明授权

US08085995B2 Identifying images using face recognition 有权
标题翻译：使用脸部识别识别图像
公开(公告)号：US08085995B2
公开(公告)日：2011-12-27
申请号：US11566075
申请日：2006-12-01
申请人： Jay Yagnik
发明人： Jay Yagnik
IPC分类号： G06K9/62
CPC分类号： G06K9/00288 , G06F17/30247 , G06F17/30256 , G06K9/6256
摘要： A method includes identifying a named entity, retrieving images associated with the named entity, and using a face detection algorithm to perform face detection on the retrieved images to detect faces in the retrieved images. At least one representative face image from the retrieved images is identified, and the representative face image is used to identify one or more additional images representing the at least one named entity.
摘要翻译：一种方法包括识别命名实体，检索与命名实体相关联的图像，以及使用面部检测算法对检索到的图像执行面部检测以检测检索到的图像中的面部。识别来自检索到的图像的至少一个代表性面部图像，并且使用代表性面部图像来识别表示至少一个命名实体的一个或多个附加图像。

75. 发明申请

US20110112916A1 Advertiser and User Association 有权
标题翻译：广告客户和用户协会
公开(公告)号：US20110112916A1
公开(公告)日：2011-05-12
申请号：US13007209
申请日：2011-01-14
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0274 , G06Q30/0277
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes generating content-based keywords based on content generated by users of a social network. The method includes labeling nodes comprising user nodes, which are representations of the users, with advertising labels comprising content-based keywords that coincide with advertiser-selected keywords that are based on one or more terms specified by an advertiser. The method also includes outputting, for each node, weights for the advertising labels based on weights of advertising labels associated with neighboring nodes, which are related to the node by a relationship.
摘要翻译：本说明书的主题可以包括基于社交网络的用户生成的内容生成基于内容的关键词的方法。该方法包括标示包括用户节点的节点，其是用户的表示，广告标签包括与基于广告商指定的一个或多个术语的广告商选择的关键字相符合的基于内容的关键字。该方法还包括针对每个节点，根据通过关系与节点相关联的与相邻节点相关联的广告标签的权重，输出广告标签的权重。

76. 发明授权

US07904461B2 Advertiser and user association 有权
标题翻译：广告客户和用户关联
公开(公告)号：US07904461B2
公开(公告)日：2011-03-08
申请号：US11743006
申请日：2007-05-01
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30 , G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0274 , G06Q30/0277
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes generating content-based keywords based on content generated by users of a social network. The method includes labeling nodes comprising user nodes, which are representations of the users, with advertising labels comprising content-based keywords that coincide with advertiser-selected keywords that are based on one or more terms specified by an advertiser. The method also includes outputting, for each node, weights for the advertising labels based on weights of advertising labels associated with neighboring nodes, which are related to the node by a relationship.
摘要翻译：本说明书的主题可以包括基于社交网络的用户生成的内容生成基于内容的关键词的方法。该方法包括标示包括用户节点的节点，其是用户的表示，广告标签包括与基于广告商指定的一个或多个术语的广告商选择的关键字相符合的基于内容的关键字。该方法还包括针对每个节点，根据通过关系与节点相关联的与相邻节点相关联的广告标签的权重，输出广告标签的权重。

77. 发明授权

US07853622B1 Video-related recommendations using link structure 有权
标题翻译：视频相关建议使用链接结构
公开(公告)号：US07853622B1
公开(公告)日：2010-12-14
申请号：US11933676
申请日：2007-11-01
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30
CPC分类号： G06F17/30035 , G06F17/30828 , G06Q30/02 , Y10S707/99942 , Y10S707/99945
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes inferring labels for videos, users, advertisements, groups of users, and other entities included in a social network system. The inferred labels can be used to generate recommendations such as videos or advertisements in which a user may be interested. Inferred labels can be generated based on social or other relationships derived from, for example, profiles or activities of social network users. Inferred labels can be advantageous when explicit information about these entities is not available. For example, a particular user may not have clicked on any online advertisements, so the user is not explicitly linked to any advertisements.
摘要翻译：本说明书的主题可以包括推断用于视频，用户，广告，用户组以及包括在社交网络系统中的其他实体的标签的方法。推断的标签可用于生成用户可能感兴趣的建议，如视频或广告。可以基于从例如社交网络用户的简档或活动导出的社会或其他关系来生成推断标签。当关于这些实体的显式信息不可用时，推断的标签可能是有利的。例如，特定用户可能没有点击任何在线广告，因此用户没有明确地链接到任何广告。

78. 发明申请

US20100008547A1 Method and System for Automated Annotation of Persons in Video Content 有权
标题翻译：视频内容人员自动注释方法与系统
公开(公告)号：US20100008547A1
公开(公告)日：2010-01-14
申请号：US12172939
申请日：2008-07-14
申请人： Jay YAGNIK , Ming Zhao
发明人： Jay YAGNIK , Ming Zhao
IPC分类号： G06K9/00
CPC分类号： G06K9/00711 , G06F17/30781 , G06K9/00295 , G06K9/6255
摘要： Methods and systems for automated annotation of persons in video content are disclosed. In one embodiment, a method of identifying faces in a video includes the stages of: generating face tracks from input video streams; selecting key face images for each face track; clustering the face tracks to generate face clusters; creating face models from the face clusters; and correlating face models with a face model database. In another embodiment, a system for identifying faces in a video includes a face model database having face entries with face models and corresponding names, and a video face identifier module. In yet another embodiment, the system for identifying faces in a video can also have a face model generator.
摘要翻译：公开了用于视频内容中的人的自动注释的方法和系统。在一个实施例中，识别视频中的面部的方法包括以下阶段：从输入视频流生成面部曲面; 为每个脸部轨迹选择关键脸部图像; 聚集脸部轨迹以生成脸部群集; 从脸部群集中创建面部模型; 并将面部模型与面部模型数据库相关联。在另一个实施例中，用于识别视频中的面部的系统包括具有面部表情和面部模型和对应名称的面部模型数据库，以及视频面部识别器模块。在另一个实施例中，用于识别视频中的面部的系统还可以具有面部模型生成器。

79. 发明申请

US20080275899A1 Advertiser and User Association 有权
标题翻译：广告客户和用户协会
公开(公告)号：US20080275899A1
公开(公告)日：2008-11-06
申请号：US11743006
申请日：2007-05-01
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06Q30/0274 , G06Q30/0277
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes generating content-based keywords based on content generated by users of a social network. The method includes labeling nodes comprising user nodes, which are representations of the users, with advertising labels comprising content-based keywords that coincide with advertiser-selected keywords that are based on one or more terms specified by an advertiser. The method also includes outputting, for each node, weights for the advertising labels based on weights of advertising labels associated with neighboring nodes, which are related to the node by a relationship.
摘要翻译：本说明书的主题可以包括基于社交网络的用户生成的内容生成基于内容的关键词的方法。该方法包括标示包括用户节点的节点，其是用户的表示，广告标签包括与基于广告商指定的一个或多个术语的广告商选择的关键字相符合的基于内容的关键字。该方法还包括针对每个节点，根据通过关系与节点相关联的与相邻节点相关联的广告标签的权重，输出广告标签的权重。

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