公开(公告)号：US20090248575A1

公开(公告)日：2009-10-01

申请号：US11721224

申请日：2005-12-08

申请人： Adolf J. Dipl. Ing. Proidl ,  Srinivas Gutta

发明人： Adolf J. Dipl. Ing. Proidl ,  Srinivas Gutta

IPC分类号： G06Q30/00

CPC分类号： H04N7/17318 ,  G06Q20/102 ,  H04N21/252 ,  H04N21/2543 ,  H04N21/25891 ,  H04N21/44222 ,  H04N21/4755 ,  H04N21/4826 ,  H04N21/6582

摘要： A system to autonomously authorize billing for a subscription plan for a user using data including available subscription services, a user profile, and a user supplied criteria for subscription service selection such as a spending limit related to the available subscription services. In one embodiment, the present invention may rate the available subscription services in accordance with the user profile and may then select a given number of high rated subscription services for the subscription plan. The user profile may be updated to reflect changes in a user's preference. The subscribed content may be provided to the user as a personal television channel.

摘要翻译： 一种用于使用包括可用订阅服务，用户简档和用户提供的用于订阅服务选择的标准的数据（例如与可用订阅服务相关的支出限制）来自动授权对用户订阅计划进行计费的系统。 在一个实施例中，本发明可以根据用户简档对可用的订阅服务进行评级，并且然后可以为订阅计划选择给定数量的高评级订阅服务。 可以更新用户简档以反映用户偏好的改变。 订阅的内容可以作为个人电视频道提供给用户。

公开(公告)号：US20090043725A1

公开(公告)日：2009-02-12

申请号：US11718398

申请日：2005-11-01

申请人： Srinivas Gutta

发明人： Srinivas Gutta

IPC分类号： G06N5/00

CPC分类号： H04N21/44222 ,  H04N7/163 ,  H04N21/44008 ,  H04N21/4532 ,  H04N21/4622 ,  H04N21/4668 ,  H04N21/4755 ,  H04N21/84

摘要： A program recommender (300) that receives one or more starring actor data fields for a program. The recommender adjusts one or more of the received starring actor data fields (600) by utilizing a source separate from the received starring actor data fields to identify one or more starring actors in the program. The adjusted data fields may be made available for use in creating a viewer profile (400), or alternatively may be made available for determining a recommendation (330) for the program.

摘要翻译： 一个节目推荐器（300），其接收节目的一个或多个主演演员数据字段。 推荐者通过利用与接收到的主演员数据字段分开的源来调整所接收的主演员数据字段（600）中的一个或多个，以识别节目中的一个或多个主演演员。 经调整的数据字段可用于创建观看者简档（400），或者替代地可用于确定该节目的推荐（330）。

公开(公告)号：US07231652B2

公开(公告)日：2007-06-12

申请号：US09819286

申请日：2001-03-28

申请人： Srinivas Gutta ,  Kwok Pun Lee ,  J. David Schaffer

发明人： Srinivas Gutta ,  Kwok Pun Lee ,  J. David Schaffer

IPC分类号： H04H9/00 ,  H04N7/16 ,  H04N5/445 ,  G06F13/00 ,  G06F17/30 ,  G06F15/18 ,  G06Q30/00 ,  G06Q7/00

CPC分类号： G06N99/005

摘要： Artificial intelligence applications require use of training sets containing positive and negative examples. Negative examples are chosen using distributions of positive examples with respect to a dominant feature in feature space. Negative examples should share or approximately share, with the positive examples, values of a dominant feature in feature space. This type of training set is illustrated with respect to content recommenders, especially recommenders for television shows.

摘要翻译： 人工智能应用需要使用包含正面和负面实例的训练集。 使用关于特征空间中的主要特征的正例的分布来选择负例子。 负面例子应该与积极的例子分享或大致分享特征空间中主要特征的价值。 关于内容推荐者，特别是电视节目的推荐者，说明了这种类型的训练集。

公开(公告)号：US20070121005A1

公开(公告)日：2007-05-31

申请号：US10578718

申请日：2004-11-08

申请人： Srinivas Gutta ,  Petrus Meuleman ,  Wilhelmus Franciscus Verhaegh

发明人： Srinivas Gutta ,  Petrus Meuleman ,  Wilhelmus Franciscus Verhaegh

IPC分类号： H04N7/08 ,  H04N11/00 ,  H04N7/16

CPC分类号： H04N5/44513 ,  H04N5/44504 ,  H04N21/4355 ,  H04N21/485 ,  H04N21/4884

摘要： A method for displaying close-captioned text (116) associated with video is provided. The method including: determining a position on a portion of the video for display of the close-captioned text; detecting one or more attributes of the video surrounding the position; and adjusting one or more attributes of the close-captioned text based on the detected one or more attributes of the video. The method can further include displaying the close-captioned text in the portion of the video with the adjusted one or more attributes. The one or more attributes of the video surrounding the position can be selected from a list consisting of a brightness, a contrast, a color, and a content. The one or more attributes of the close-captioned text can be selected from a group consisting of a brightness, a contrast, a color, and a degree of transparency.

摘要翻译： 提供了一种用于显示与视频相关联的近字幕文本（116）的方法。 所述方法包括：确定所述视频的一部分上的位置以显示所述紧密标题的文本; 检测围绕位置的视频的一个或多个属性; 以及基于所检测的所述视频的一个或多个属性来调整所述紧接字幕文本的一个或多个属性。 所述方法还可以包括在经过调整的一个或多个属性的视频部分中显示紧接字幕的文本。 围绕位置的视频的一个或多个属性可以从由亮度，对比度，颜色和内容组成的列表中选择。 可以从由亮度，对比度，颜色和透明度组成的组中选择一个或多个紧密标题文本的属性。

公开(公告)号：US20070106656A1

公开(公告)日：2007-05-10

申请号：US10556252

申请日：2004-05-06

申请人： Srinivas Gutta

发明人： Srinivas Gutta

IPC分类号： G06F17/30

CPC分类号： G06Q30/02 ,  G06F16/9535

摘要： Methods and apparatus are disclosed to various embodiments for recommending items (150) to an advisee such as television program recommendations, based on other user's viewing preferences (140) or profiles (160). In contrast to the state of the art, the other user's have at least one demographic in common with the advise, such as age, income or gender for example or combinations thereof. According to one aspect of the invention, recommendations may be generated before a viewing or purchase history of the advisee is available. According to one embodiment, a method for recommending items includes the acts of receiving a recommendation request from an advisee for a recommendation of said items; filtering a general population of users to identify a sub-population of users who share at least one demographic in common with said advisee; computing a degree of closeness measure between preference data associated with each user in the sub-population and one of preference (140) and profile (160) data associated with said advisee; selecting the preference data associating with N users from said sub-population having the lowest computed degree of closeness measure with the advisee, where N is a positive integer value, equal to or greater than 1; using the selected preference data to recommend said items to the advisee.

摘要翻译： 公开了各种实施例的方法和装置，用于基于其他用户的观看偏好（140）或简档（160）向建议者（例如电视节目推荐）推荐项目（150）。 与现有技术相比，其他用户至少有一个与建议相同的人口，例如年龄，收入或性别，或其组合。 根据本发明的一个方面，可以在建议者的观看或购买历史可用之前产生建议。 根据一个实施例，一种用于推荐项目的方法包括从建议者接收关于所述项目的推荐的推荐请求的动作; 过滤一般用户群体以识别与所述顾问共享至少一个人口统计的用户的子群体; 计算与子群体中的每个用户相关联的偏好数据与与所述建议者相关联的优选（140）和简档（160）数据之一的接近程度度; 从具有最低计算度的接近程度的所述子群体中，与所述建议者选择与N个用户相关联的偏好数据，其中N是正整数值等于或大于1; 使用所选择的偏好数据来向建议者推荐所述项目。

公开(公告)号：US20070091111A1

公开(公告)日：2007-04-26

申请号：US10583643

申请日：2005-01-05

申请人： Srinivas Gutta

发明人： Srinivas Gutta

IPC分类号： G09G5/02

CPC分类号： H04N5/58 ,  G09G2320/0276 ,  H04N7/012 ,  H04N7/0132 ,  H04N9/73 ,  H04N21/4131 ,  H04N21/44008

摘要： Extracting and processing video content encoded in a rendered color space to be emulated by an ambient light source, comprising extracting color information from a video signal and transforming the color information through unrendered color space using tristimulus primary matrices to form a second rendered color space to drive the ambient light source. Video signal decoding into frames can employ an interframe interpolation process using only color information from selected frames, such as extracting average or other color information from an selected screen regions to reduce bitstream load, and negative gamma correction helps prevent garish or inappropriate chromaticities and luminance.

摘要翻译： 提取和处理被渲染的颜色空间中编码的要由环境光源模拟的视频内容，包括从视频信号中提取颜色信息，并使用三色主矩阵来转换颜色信息，以通过未渲染的颜色空间形成第二渲染颜色空间来驱动 环境光源。 视频信号解码成帧可以采用仅使用来自所选帧的颜色信息的帧间插值处理，例如从所选屏幕区域提取平均值或其他颜色信息以减少比特流负载，而负伽马校正有助于防止伪装或不适当的色度和亮度。

公开(公告)号：US06851090B1

公开(公告)日：2005-02-01

申请号：US09699608

申请日：2000-10-30

申请人： Srinivas Gutta ,  J. David Schaffer ,  Kwok Pun Lee

发明人： Srinivas Gutta ,  J. David Schaffer ,  Kwok Pun Lee

IPC分类号： H04N7/025 ,  H04N7/03 ,  H04N7/035 ,  H04N7/16 ,  H04N21/431 ,  H04N21/45 ,  H04N21/454 ,  H04N21/466 ,  H04N21/482 ,  G06F15/00

CPC分类号： H04N21/4665 ,  H04N7/163 ,  H04N21/4312 ,  H04N21/4314 ,  H04N21/4532 ,  H04N21/454 ,  H04N21/466 ,  H04N21/4668 ,  H04N21/4826

摘要： A method and apparatus are disclosed for displaying available television programs with an indication of the strength of the contribution of one or more program attributes or features to the overall recommendation score assigned by a program recommender. The program and corresponding indication of the strength of the contribution of one or more program attributes can be presented to the user, for example, using grids listing the available television programs by time and date, channel and title. The overall recommendation scores or component scores associated with each program are also displayed to the user. The overall recommendation scores or component scores can be displayed with each program directly or can be mapped onto a color spectrum or another visual cue, such as a variable size-of-text, rate of blinking or bar height. The visual cues are then applied to each program in the program grid in accordance with the present invention.

摘要翻译： 公开了一种用于显示可用电视节目的方法和装置，其中指示一个或多个节目属性或特征对于由节目推荐者分配的整体推荐得分的贡献的强度。 可以向用户呈现一个或多个节目属性的贡献的强度的程序和相应的指示，例如，使用按时间和日期，频道和标题列出可用的电视节目的网格。 与每个程序相关联的整体推荐分数或分数分数也显示给用户。 可以直接显示每个程序的总体建议得分或组分分数，或者可以将其映射到色谱或其他视觉提示，例如可变大小的文本，闪烁速率或条高。 然后根据本发明将视觉提示应用于程序网格中的每个程序。

公开(公告)号：US06801656B1

公开(公告)日：2004-10-05

申请号：US09706668

申请日：2000-11-06

申请人： Antonio J. Colmenarez ,  Srinivas Gutta

发明人： Antonio J. Colmenarez ,  Srinivas Gutta

IPC分类号： G06K962

CPC分类号： G06K9/00335 ,  G06K9/00315 ,  G06K9/6218 ,  G06K9/6297

摘要： A signal processing system processes a signal using a hidden Markov model (HMM) having a number of states determined at least in part based on application of an iterative algorithm to the model. The iterative algorithm adjusts the number of states of the model, based at least in part on closeness measures computed between the states, until the model satisfies a specified performance criterion. The model having the adjusted number of states is then utilized to determine a characteristic of the signal, and an action of the signal processing system is controlled based on the determined characteristic.

摘要翻译： 信号处理系统使用至少部分地基于对模型的迭代算法的应用确定的多个状态的隐马尔可夫模型（HMM）来处理信号。 迭代算法至少部分地基于状态之间计算的接近度测量来调整模型的状态数，直到模型满足指定的性能标准。 然后利用具有调整状态数的模型来确定信号的特性，并且基于所确定的特性来控制信号处理系统的动作。

公开(公告)号：US06795808B1

公开(公告)日：2004-09-21

申请号：US09699579

申请日：2000-10-30

申请人： Hugo J. Strubbe ,  Larry J. Eshelman ,  Srinivas Gutta ,  John Milanski ,  Daniel Pelletier

发明人： Hugo J. Strubbe ,  Larry J. Eshelman ,  Srinivas Gutta ,  John Milanski ,  Daniel Pelletier

IPC分类号： G10L1522

CPC分类号： G06F17/30702 ,  G06F17/30976 ,  G10L15/1815 ,  G10L15/1822 ,  G10L15/22 ,  H04N21/4394 ,  H04N21/44008 ,  H04N21/466 ,  H04N21/4665

摘要： An interaction simulator, such as a chatterbot, is connected with an external database, such as an electronic program guide. The information gathered during interaction, particularly conversational, is parsed and used to augment the database data. The interaction simulator may be guided by the data residing in the database so as to help fill in recognizable gaps by, for example, intermittently asking questions relating to the subject data requirement. The interaction simulator may be provided with specific response templates based on the needs of the database and a corresponding set of templates to extract the information required by the database. Another example database may be for recording and indexing by key word stories or other free-form verbal data uttered by the user. The interaction simulator may be programmed to help the user develop the story using templates designed for this purpose.

摘要翻译： 诸如chatterbot的交互模拟器与诸如电子节目指南的外部数据库连接。 在交互期间收集的信息，特别是会话，被解析并用于增加数据库数据。 交互模拟器可以由驻留在数据库中的数据引导，以便通过例如间歇地询问与主题数据要求相关的问题来帮助填充可识别的间隙。 交互模拟器可以基于数据库的需要和相应的一组模板来提供具体的响应模板，以提取数据库所需的信息。 另一个示例性数据库可以用于通过关键词故事或用户发出的其他自由形式的口头数据进行记录和索引。 交互模拟器可以被编程以帮助用户使用为此目的设计的模板来开发故事。

公开(公告)号：US06727914B1

公开(公告)日：2004-04-27

申请号：US09466406

申请日：1999-12-17

申请人： Srinivas Gutta

发明人： Srinivas Gutta

IPC分类号： G09G500

CPC分类号： H04N21/4665 ,  H04N7/163 ,  H04N21/25891 ,  H04N21/44222 ,  H04N21/4532 ,  H04N21/454 ,  H04N21/4667 ,  H04N21/4668

摘要： A method and apparatus are disclosed for recommending television programming using decision trees. Inductive principles are utilized to identify a set of recommended programs that may be of interest to a particular viewer, based on past viewing behavior. A user's viewing history is monitored and the shows that are actually watched by a user (positive examples) and the shows that are not watched by the user (negative examples) are analyzed. For each positive and negative program example (i.e., programs watched and not watched), a number of program attributes are classified in the user profile. The various attributes are then positioned in a hierarchical decision tree based on a ranking of the entropy of each attribute. Each node and sub-node in the decision tree corresponds to a given attribute from the user profile. Each leaf node in the decision tree corresponds to either a positive or negative recommendation for a program mounted at the corresponding leaf node. The decision tree is built using a decision tree process that implements a “top-down divide and conquer” approach. The decision tree can thereafter be applied to an electronic program guide to make program recommendations.

摘要翻译： 公开了一种用于使用决策树推荐电视节目的方法和装置。 根据过去的观看行为，使用归纳原理来识别特定观看者可能感兴趣的一组推荐节目。 对用户的观看历史进行监控，并且分析用户实际观看的节目（正面例子）和用户未观看的节目（负面例子）。 对于每个正面和负面的程序示例（即，观看和未观看的节目），多个节目属性被分类在用户简档中。 然后，基于每个属性的熵的等级将各种属性定位在分层决策树中。 决策树中的每个节点和子节点对应于来自用户简档的给定属性。 决策树中的每个叶节点对应于安装在相应叶节点处的程序的正或负推荐。 决策树是使用执行“自上而下的分裂和征服”方法的决策树过程构建的。 此后可以将决策树应用于电子节目指南，以制定节目推荐。