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    System and method for automatically rating video content
    1.
    发明授权
    System and method for automatically rating video content 失效
    自动对视频内容进行评分的系统和方法

    公开(公告)号：US08001561B2

    公开(公告)日：2011-08-16

    申请号：US12120217

    申请日：2008-05-13

    申请人： Simon J. Gibbs ,  Bottyán Németh ,  Priyang Rathod ,  Anugeetha Kunjithapatham ,  Mithun Sheshagiri ,  Phuong Nguyen

    发明人： Simon J. Gibbs ,  Bottyán Németh ,  Priyang Rathod ,  Anugeetha Kunjithapatham ,  Mithun Sheshagiri ,  Phuong Nguyen

    IPC分类号： H04N7/16 ,  H04N5/455

    CPC分类号： G06F17/30038

    摘要： System and method for automatically rating the content of video media based on video operations performed on a media device and in reference to a plurality of rating rules are provided. Usage of the media device is continuously monitored and user actions with respect to operating the video media on the media device are automatically logged. Each rating rule includes a device usage pattern with respect to operating videos on the media device and a rating action indicating adjustments to content ratings of the videos based upon characteristics described by the device usage pattern that are inferred from the recorded user inputted video control operations. When the device usage pattern of a rating rule is inferred from one or more user actions operating a piece of video media directly on the media device, the content rating of the piece of video media is adjusted based on the rating rule.

    摘要翻译： 提供了基于在媒体设备上执行的视频操作并参考多个评级规则来自动对视频媒体的内容进行评级的系统和方法。 持续监控媒体设备的使用情况，并自动记录用户在媒体设备上操作视频媒体的操作。 每个评级规则包括关于媒体设备上的操作视频的设备使用模式，以及基于从记录的用户输入的视频控制操作推断出的设备使用模式所描述的特性的指示对视频的内容评级进行调整的评级动作。 当通过直接在媒体设备上操作一段视频媒体的一个或多个用户动作来推断评级规则的设备使用模式时，基于评级规则来调整该片视频媒体的内容分级。

    DETERMINING THE INTEREST OF INDIVIDUAL ENTITIES BASED ON A GENERAL INTEREST
    2.
    发明申请
    DETERMINING THE INTEREST OF INDIVIDUAL ENTITIES BASED ON A GENERAL INTEREST 审中-公开
    基于一般利益确定个人实体的利益

    公开(公告)号：US20100205041A1

    公开(公告)日：2010-08-12

    申请号：US12370414

    申请日：2009-02-12

    申请人： Priyang Rathod ,  Simon J. Gibbs ,  Anugeetha Kunjithapatham ,  Mithun Sheshagiri ,  Phuong Nguyen

    发明人： Priyang Rathod ,  Simon J. Gibbs ,  Anugeetha Kunjithapatham ,  Mithun Sheshagiri ,  Phuong Nguyen

    IPC分类号： G06Q10/00

    CPC分类号： G06Q10/00 ,  G06Q30/0204

    摘要： An interest value indicative of the interest of a particular entity in one or more items can be determined based on a general interest value (e.g., a group interest/preference value) associated with a plurality of entities (e.g., persons, members of a group) that include that particular entity. The interest value can be determined based on Collaborative Filtering (CF) data and/or individual (or non-collaborative) data. In contrast to the Collaborative Filtering (CF) data which may include data associated with various entities, the individual (or non-collaborative) data typically pertains to one entity, namely, the entity whose interest is to be determined. It will be appreciated that both collaborative and non-collaborative data pertaining to individuals can be considered, thereby allowing for a better estimation of individual interests. The interest of a particular entity can be determined, for example, by considering the difference between a predicted CF interest value (determined based on CF data) and a group interest value and/or by considering the difference between a predicted individual interest value (determined based on non-collaborative data) and the group interest value.

    摘要翻译： 可以基于与多个实体（例如，个人，组的成员）相关联的一般兴趣值（例如，组兴趣/偏好值）来确定指示一个或多个项目中特定实体的兴趣的兴趣值 ）包括该特定实体。 可以基于协同过滤（CF）数据和/或单个（或非协作）数据来确定兴趣值。 与可以包括与各种实体相关联的数据的协作过滤（CF）数据相反，个体（或非协作）数据通常涉及一个实体，即其利益将被确定的实体。 应当理解，可以考虑与个人有关的协作和非协作数据，从而允许更好地估计个人兴趣。 特定实体的兴趣可以例如通过考虑预测的CF利息值（基于CF数据确定）和组合利息价值之间的差异和/或通过考虑预测的个人利益价值（确定的）之间的差异来确定 基于非协作数据）和组利益价值。

    CLIPRANK: RANKING MEDIA CONTENT USING THEIR RELATIONSHIPS WITH END USERS
    4.
    发明申请
    CLIPRANK: RANKING MEDIA CONTENT USING THEIR RELATIONSHIPS WITH END USERS 有权
    CLIPRANK：使用与最终用户的关系排名媒体内容

    公开(公告)号：US20090132519A1

    公开(公告)日：2009-05-21

    申请号：US12120209

    申请日：2008-05-13

    申请人： Priyang Rathod ,  Mithun Sheshagiri ,  Simon J. Gibbs ,  Anugeetha Kunjithapatham

    发明人： Priyang Rathod ,  Mithun Sheshagiri ,  Simon J. Gibbs ,  Anugeetha Kunjithapatham

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30038

    摘要： A method of ranking a plurality pieces of media content is provided. Each of the plurality pieces of media content has at least one relationship with at least one of a plurality of users. Each of the plurality of users has at least one relationship with at least one of the plurality pieces of media content. Each of the plurality pieces of media content is associated with a weight, each of the plurality of users is associated with a weight, and each relationship is associated with a weight. For each of the plurality pieces of media content and each of the plurality of users, recursively calculating and updating the weight associated with the piece of media content or the user until a difference between the weights associated with the plurality pieces of media content and the plurality of users calculated during a current iteration and the weights associated with the plurality pieces of media content and the plurality of users calculated during a previous iteration is less than a predefined threshold. The weight associated with a piece of media content or a user is calculated based on the weights of the at least one relationship and the weights of the at least one piece of media content or the at least one user with which the piece of media content or the user has the at least one relationship. Ranking the plurality pieces of media content according to their respectively associated weights.

    摘要翻译： 提供了一种对多个媒体内容进行排序的方法。 多个媒体内容中的每一个与多个用户中的至少一个具有至少一个关系。 多个用户中的每一个与多个媒体内容中的至少一个具有至少一个关系。 多个媒体内容中的每一个与权重相关联，多个用户中的每一个与权重相关联，并且每个关系与权重相关联。 对于多个媒体内容中的每一个和多个用户中的每一个，递归地计算和更新与该片媒体内容或用户相关联的权重，直到与多个媒体内容和多个媒体内容相关联的权重之间的差异 并且与多个媒体内容相关联的权重以及在先前迭代期间计算的多个用户的权重小于预定义的阈值。 基于所述至少一个关系的权重以及所述至少一个媒体内容的权重或者所述至少一个用户可以计算与一段媒体内容或用户相关联的权重， 用户具有至少一个关系。 根据各自的相关权重对多个媒体内容进行排序。

    SEMANTIC METADATA CREATION FOR VIDEOS
    5.
    发明申请
    SEMANTIC METADATA CREATION FOR VIDEOS 有权
    用于视频的语义元素创建

    公开(公告)号：US20100057694A1

    公开(公告)日：2010-03-04

    申请号：US12340277

    申请日：2008-12-19

    申请人： Anugeetha KUNJITHAPATHAM ,  Simon J. Gibbs ,  Priyang Rathod ,  Phuong Nguyen ,  Mithun Sheshagiri

    发明人： Anugeetha KUNJITHAPATHAM ,  Simon J. Gibbs ,  Priyang Rathod ,  Phuong Nguyen ,  Mithun Sheshagiri

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30781 ,  Y10S707/914

    摘要： A computing system creates and stores semantic metadata on content, such as videos, that enables efficient searching of the content. The existing metadata of a video file, for example, is examined and a keyword list is created. The processes used to derive the keyword list may depend on the type and format of the existing metadata. The keywords from the list are compared against external structured knowledge data sources that are topic oriented. Based on these comparisons and the matches found, semantic data, including topic, topic type, and attribute data are inserted into a topic table. This uniform and structured table is stored on the computing system and is efficiently searchable for finding relevant videos and for finding relationships between videos.

    摘要翻译： 计算系统创建并存储能够有效搜索内容的内容（例如视频）上的语义元数据。 检查视频文件的现有元数据，例如，创建关键字列表。 用于派生关键字列表的过程可能取决于现有元数据的类型和格式。 将列表中的关键字与面向主题的外部结构化知识数据源进行比较。 基于这些比较和发现的匹配，将语义数据（包括主题，主题类型和属性数据）插入到主题表中。 这种统一和结构化的表存储在计算系统上，并且可以高效地搜索以查找相关视频和查找视频之间的关系。

    SYSTEM AND METHOD FOR AUTOMATICALLY RATING VIDEO CONTENT
    8.
    发明申请
    SYSTEM AND METHOD FOR AUTOMATICALLY RATING VIDEO CONTENT 失效
    用于自动评估视频内容的系统和方法

    公开(公告)号：US20090133048A1

    公开(公告)日：2009-05-21

    申请号：US12120217

    申请日：2008-05-13

    申请人： Simon J. Gibbs ,  Bottyan Nemeth ,  Priyang Rathod ,  Anugeetha Kunjithapatham ,  Mithun Sheshagiri ,  Phuong Nguyen

    发明人： Simon J. Gibbs ,  Bottyan Nemeth ,  Priyang Rathod ,  Anugeetha Kunjithapatham ,  Mithun Sheshagiri ,  Phuong Nguyen

    IPC分类号： H04H60/32

    CPC分类号： G06F17/30038

    摘要： System and method for automatically rating the content of video media based on video operations performed on a media device and in reference to a plurality of rating rules are provided. Usage of the media device is continuously monitored and user actions with respect to operating the video media on the media device are automatically logged. Each rating rule includes a device usage pattern with respect to operating videos on the media device and a rating action indicating adjustments to content ratings of the videos based upon characteristics described by the device usage pattern that are inferred from the recorded user inputted video control operations. When the device usage pattern of a rating rule is inferred from one or more user actions operating a piece of video media directly on the media device, the content rating of the piece of video media is adjusted based on the rating rule.

    摘要翻译： 提供了基于在媒体设备上执行的视频操作并参考多个评级规则来自动对视频媒体的内容进行评级的系统和方法。 持续监控媒体设备的使用情况，并自动记录用户在媒体设备上操作视频媒体的操作。 每个评级规则包括关于媒体设备上的操作视频的设备使用模式，以及基于从记录的用户输入的视频控制操作推断出的设备使用模式所描述的特性的指示对视频的内容评级进行调整的评级动作。 当通过直接在媒体设备上操作一段视频媒体的一个或多个用户动作来推断评级规则的设备使用模式时，基于评级规则来调整该片视频媒体的内容分级。

    Semantic metadata creation for videos
    9.
    发明授权
    Semantic metadata creation for videos 有权
    视频的语义元数据创建

    公开(公告)号：US08145648B2

    公开(公告)日：2012-03-27

    申请号：US12340277

    申请日：2008-12-19

    申请人： Anugeetha Kunjithapatham ,  Simon J. Gibbs ,  Priyang Rathod ,  Phuong Nguyen ,  Mithun Sheshagiri

    发明人： Anugeetha Kunjithapatham ,  Simon J. Gibbs ,  Priyang Rathod ,  Phuong Nguyen ,  Mithun Sheshagiri

    IPC分类号： G06F7/00 ,  G06F17/30 ,  G06F15/16

    CPC分类号： G06F17/30781 ,  Y10S707/914

    摘要： A computing system creates and stores semantic metadata on content, such as videos, that enables efficient searching of the content. The existing metadata of a video file, for example, is examined and a keyword list is created. The processes used to derive the keyword list may depend on the type and format of the existing metadata. The keywords from the list are compared against external structured knowledge data sources that are topic oriented. Based on these comparisons and the matches found, semantic data, including topic, topic type, and attribute data are inserted into a topic table. This uniform and structured table is stored on the computing system and is efficiently searchable for finding relevant videos and for finding relationships between videos.

    摘要翻译： 计算系统创建并存储能够有效搜索内容的内容（例如视频）上的语义元数据。 检查视频文件的现有元数据，例如，创建关键字列表。 用于派生关键字列表的过程可能取决于现有元数据的类型和格式。 将列表中的关键字与面向主题的外部结构化知识数据源进行比较。 基于这些比较和发现的匹配，将语义数据（包括主题，主题类型和属性数据）插入到主题表中。 这种统一和结构化的表存储在计算系统上，并且可以高效地搜索以查找相关视频和查找视频之间的关系。

    Cliprank: ranking media content using their relationships with end users
    10.
    发明授权
    Cliprank: ranking media content using their relationships with end users 有权
    Cliprank：使用与最终用户的关系对媒体内容进行排名

    公开(公告)号：US08015192B2

    公开(公告)日：2011-09-06

    申请号：US12120209

    申请日：2008-05-13

    申请人： Priyang Rathod ,  Mithun Sheshagiri ,  Simon J. Gibbs ,  Anugeetha Kunjithapatham

    发明人： Priyang Rathod ,  Mithun Sheshagiri ,  Simon J. Gibbs ,  Anugeetha Kunjithapatham

    IPC分类号： G06F7/00 ,  G06F17/30

    CPC分类号： G06F17/30038

    摘要： A method of ranking pieces of media content is provided. Each of the plurality pieces of media content has at least one relationship with at least one user. Each of the users has at least one relationship with at least one of the pieces of media content. Weights are associated with each piece of media content, user and relationship. The weight of a particular piece of media content is determined by recursively calculating and updating the weights of the pieces of media content and the users. The weight associated with a piece of media content or a user is calculated based on the weights of the at least one relationship and the weights of the at least one piece of media content or the at least one user with which the piece of media content or the user has the at least one relationship.

    摘要翻译： 提供了一种对媒体内容进行排序的方法。 多个媒体内容中的每一个与至少一个用户具有至少一个关系。 每个用户与至少一个媒体内容的至少一个关系。 权重与每个媒体内容，用户和关系相关联。 通过递归地计算和更新媒体内容和用户的权重来确定特定媒体内容的权重。 基于所述至少一个关系的权重以及所述至少一个媒体内容的权重或者所述至少一个用户可以计算与一段媒体内容或用户相关联的权重， 用户具有至少一个关系。