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公开(公告)号：US09665596B2
公开(公告)日：2017-05-30
申请号：US15284607
申请日：2016-10-04
Applicant: Yahoo! Inc.
Inventor： Arun Ramanujapuram , Malcolm Slaney
CPC classification number: G06F17/30253 , G06F17/30244 , G06F17/30247 , G06F17/30256 , G06F17/3028 , G06K9/4671 , G06K2209/01
Abstract: Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicate matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.
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公开(公告)号：US20140040280A1
公开(公告)日：2014-02-06
申请号：US13773540
申请日：2013-02-21
Applicant: Yahoo! Inc.
Inventor： Malcolm Slaney , William White
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06F17/30749 , G06F17/30752 , G06F17/30758 , G06F17/30766 , G06F17/30772
Abstract: The systems and methods described create a mathematical representation of each of the media objects for which user ratings are known. The mathematical representations take into account the subjective rating value assigned by a user to the respective media object and the user that assigned the rating value. The media object with the mathematical representation closest to that of the seed media object is then selected as the most similar media object to the seed media object. In an embodiment, the mathematical representation is a vector representation in which each user is a different dimension and each user's rating value is the magnitude of the vector in that dimension. Similarity between two songs is determined by identifying the closest vectors to that of the seed song. Closeness may be determined by subtracting or by calculating the dot product of each of the vectors with that of the seed media object.
Abstract translation: 所描述的系统和方法创建了用户评级已知的每个媒体对象的数学表示。 数学表示考虑了用户分配给相应媒体对象和分配了评级值的用户的主观评价值。 然后选择具有最接近种子媒体对象的数学表示的媒体对象作为种子媒体对象的最相似的媒体对象。 在一个实施例中，数学表示是向量表示，其中每个用户是不同的维度，并且每个用户的评价值是该维度中的向量的大小。 通过识别与种子歌曲的最接近的向量来确定两首歌曲之间的相似性。 可以通过减去或通过计算每个向量的种子媒体对象的点积来确定亲密度。
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公开(公告)号：US20170024414A1
公开(公告)日：2017-01-26
申请号：US15284607
申请日：2016-10-04
Applicant: Yahoo! Inc.
Inventor： Arun Ramanujapuram , Malcolm Slaney
CPC classification number: G06F17/30253 , G06F17/30244 , G06F17/30247 , G06F17/30256 , G06F17/3028 , G06K9/4671 , G06K2209/01
Abstract: Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicate matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.
Abstract translation: 本发明的实施例涉及使用图像数据和上下文数据来基于一个或多个先前获得的图像来确定关于场景的信息。 上下文数据，图像捕获的这种位置可用于确定先前获得的与上下文数据和其他位置相关信息（例如广告牌位置）相关的图像。 使用甚至低分辨率的设备，诸如手机，诸如直方图或光学识别的字符的图像属性可以在先前获得的图像和新捕获的图像之间进行比较。 在预定阈值内匹配的属性表示匹配图像。 关于匹配先前获得的图像的内容的信息可以被提供给捕获新图像的用户。 用户简档数据可以细化内容信息。 内容信息也可以用作用于附加搜索或其他处理的搜索项。
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公开(公告)号：US20140059430A1
公开(公告)日：2014-02-27
申请号：US14069368
申请日：2013-10-31
Applicant: YAHOO! INC.
Inventor： William White , Malcolm Slaney
IPC: G06F3/0481
CPC classification number: G06F17/30386 , G06F3/04815 , G06F3/04817 , G06F3/0484 , G06F17/30017 , G06F17/30743 , G06F17/30749 , G06F17/30758 , G06F17/30769 , G06F17/30772 , G06F17/30775 , G11B27/105
Abstract: Systems and methods for generating and playing a sequence of media objects based on a mood gradient are also disclosed. A mood gradient is a sequence of items, in which each item is media object haying known characteristics or a representative set of characteristics of a media object, that is created or used by a user for a specific purpose. Given a mood gradient, one or more new media objects are selected for each item in the mood gradient based on the characteristics associated with that item. In this way, a sequence of new media objects is created but the sequence exhibits a similar variation in media object characteristics. The mood gradient may be presented to a user or created via a display illustrating a three-dimensional space in which each dimension corresponds to a different characteristic. The mood gradient may be represented as a path through the three-dimensional space and icons representing media objects are located within the three-dimensional space based on their characteristics.
Abstract translation: 还公开了基于情绪梯度来生成和播放媒体对象序列的系统和方法。 情绪梯度是一系列项目，其中每个项目是介质对象，其具有已知特征或媒体对象的一组代表性特征，其由用户为特定目的创建或使用。 给定情绪渐变，基于与该项目相关联的特征，为情绪梯度中的每个项目选择一个或多个新的媒体对象。 以这种方式，创建一系列新的媒体对象，但是该序列在媒体对象特征方面表现出类似的变化。 情绪梯度可以呈现给用户或通过显示器来创建，该显示器示出了其中每个维度对应于不同特征的三维空间。 情绪梯度可以表示为通过三维空间的路径，并且表示媒体对象的图标基于它们的特征位于三维空间内。
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公开(公告)号：US20130223744A1
公开(公告)日：2013-08-29
申请号：US13849968
申请日：2013-03-25
Applicant: Yahoo! Inc.
Inventor： Arun Ramanujapuram , Malcolm Slaney
IPC: G06F17/30
CPC classification number: G06F17/30253 , G06F17/30244 , G06F17/30247 , G06F17/30256 , G06F17/3028 , G06K9/4671 , G06K2209/01
Abstract: Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicate matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.
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Patent Agency Ranking
公开(公告)号：US20170255650A1
公开(公告)日：2017-09-07
申请号：US15597621
申请日：2017-05-17
Applicant: Yahoo! Inc.
Inventor： Arun Ramanujapuram , Malcolm Slaney
CPC classification number: G06F16/5846 , G06F16/50 , G06F16/51 , G06F16/583 , G06F16/5838 , G06K9/4671 , G06K2209/01
Abstract: Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicated matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.
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7.发明申请公开(公告)号：US20140189512A1
公开(公告)日：2014-07-03
申请号：US14072981
申请日：2013-11-06
Applicant: YAHOO! INC.
Inventor： William White , Malcolm Slaney
IPC: G06F17/30 , G06F3/0484
CPC classification number: G06F17/30386 , G06F3/04815 , G06F3/04817 , G06F3/0484 , G06F17/30017 , G06F17/30743 , G06F17/30749 , G06F17/30758 , G06F17/30769 , G06F17/30772 , G06F17/30775 , G11B27/105
Abstract: Systems and methods for generating and playing a sequence of media objects based on a mood gradient are also disclosed. A mood gradient is a sequence of items, in which each item is media object having known characteristics or a representative set of characteristics of a media object, that is created or used by a user for a specific purpose. Given a mood gradient, one or more new media objects are selected for each item in the mood gradient based on the characteristics associated with that item. In this way, a sequence of new media objects is created but the sequence exhibits a similar variation in media object characteristics. The mood gradient may be presented to a user or created via a display illustrating a three-dimensional space in which each dimension corresponds to a different characteristic. The mood gradient may be represented as a path through the three-dimensional space and icons representing media objects are located within the three-dimensional space based on their characteristics.
Abstract translation: 还公开了基于情绪梯度来生成和播放媒体对象序列的系统和方法。 情绪梯度是一系列项目，其中每个项目是具有已知特征或媒体对象的特征的特征的媒体对象，其由用户为特定目的创建或使用。 给定情绪渐变，基于与该项目相关联的特征，为情绪梯度中的每个项目选择一个或多个新的媒体对象。 以这种方式，创建一系列新的媒体对象，但是该序列在媒体对象特征方面表现出类似的变化。 情绪梯度可以呈现给用户或通过显示器来创建，该显示器示出了其中每个维度对应于不同特征的三维空间。 情绪梯度可以表示为通过三维空间的路径，并且表示媒体对象的图标基于它们的特征位于三维空间内。
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公开(公告)号：US20130290099A1
公开(公告)日：2013-10-31
申请号：US13847903
申请日：2013-03-20
Applicant: Yahoo! Inc.
Inventor： Malcolm Slaney , Dennis Martin DeCoste , Ian C. Rogers , Michael Spiegelman
IPC: G06Q30/02
CPC classification number: G06Q30/0255 , G06Q30/02 , G06Q30/0275 , G06Q30/0623 , G06Q30/0631 , G06Q30/0641
Abstract: An online music system includes a music database configured to store musical selections and to store a user profile for respective users of the online music system, an advertiser account management system to store bid amounts from advertisers seeking to provide information to the users of the online music system and a user recommendation system coupled to the music database to present information about musical selections to respective users based on the stored user profile and the stored bid amounts.
Abstract translation: 在线音乐系统包括配置为存储音乐选择并存储用于在线音乐系统的各个用户的用户简档的音乐数据库，广告客户帐户管理系统，用于存储寻求向在线音乐的用户提供信息的广告商的投标金额 系统和用户推荐系统，其耦合到音乐数据库，以基于所存储的用户简档和存储的投标金额向相应的用户呈现关于音乐选择的信息。
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公开(公告)号：US09483499B2
公开(公告)日：2016-11-01
申请号：US13849968
申请日：2013-03-25
Applicant: Yahoo! Inc.
Inventor： Arun Ramanujapuram , Malcolm Slaney
CPC classification number: G06F17/30253 , G06F17/30244 , G06F17/30247 , G06F17/30256 , G06F17/3028 , G06K9/4671 , G06K2209/01
Abstract: Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicate matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.
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公开(公告)号：US09268812B2
公开(公告)日：2016-02-23
申请号：US14069368
申请日：2013-10-31
Applicant: YAHOO! INC.
Inventor： William White , Malcolm Slaney
IPC: G06F17/30 , G11B27/10 , G06F3/0481 , G06F3/0484
CPC classification number: G06F17/30386 , G06F3/04815 , G06F3/04817 , G06F3/0484 , G06F17/30017 , G06F17/30743 , G06F17/30749 , G06F17/30758 , G06F17/30769 , G06F17/30772 , G06F17/30775 , G11B27/105
Abstract: Systems and methods for generating and playing a sequence of media objects based on a mood gradient are also disclosed. A mood gradient is a sequence of items, in which each item is media object having known characteristics or a representative set of characteristics of a media object, that is created or used by a user for a specific purpose. Given a mood gradient, one or more new media objects are selected for each item in the mood gradient based on the characteristics associated with that item. In this way, a sequence of new media objects is created but the sequence exhibits a similar variation in media object characteristics. The mood gradient may be presented to a user or created via a display illustrating a three-dimensional space in which each dimension corresponds to a different characteristic. The mood gradient may be represented as a path through the three-dimensional space and icons representing media objects are located within the three-dimensional space based on their characteristics.
Abstract translation: 还公开了基于情绪梯度来生成和播放媒体对象序列的系统和方法。 情绪梯度是一系列项目，其中每个项目是具有已知特征或媒体对象的特征的特征的媒体对象，其由用户为特定目的创建或使用。 给定情绪渐变，基于与该项目相关联的特征，为情绪梯度中的每个项目选择一个或多个新的媒体对象。 以这种方式，创建一系列新的媒体对象，但该序列在媒体对象特征方面表现出类似的变化。 情绪梯度可以呈现给用户或通过显示器来创建，该显示器示出了其中每个维度对应于不同特征的三维空间。 情绪梯度可以表示为通过三维空间的路径，并且表示媒体对象的图标基于它们的特征位于三维空间内。
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