公开(公告)号：US07190809B2

公开(公告)日：2007-03-13

申请号：US10184517

申请日：2002-06-28

申请人： Srinivas Gutta ,  Antonio J. Colmenarez ,  Miroslav Trajkovic

发明人： Srinivas Gutta ,  Antonio J. Colmenarez ,  Miroslav Trajkovic

IPC分类号： G06K9/00

CPC分类号： G06K9/00771 ,  G06K9/38 ,  G06T7/11 ,  G06T7/143 ,  G06T7/194 ,  G06T7/215 ,  G06T2207/10016

摘要： A method and apparatus are disclosed for generating and maintaining enhanced background models for use in background-foreground segmentation. Background models are modified to contain an indication of objects that are typically stationary. Thereafter, if an object moves and has been previously identified as an object that is typically stationary, the object will not unnecessarily be identified as part of the foreground during background-foreground segmentation. In an exemplary implementation, moving objects are classified into two sets. A first set includes objects that typically move independently and a second set includes objects that are typically stationary. Generally, once an object is assigned to the second (stationary object) set, the object will remain in the background, even if the object is moved (normally, movement of the object would cause the object to become part of the foreground).

摘要翻译： 公开了用于生成和维护用于背景前景分割的增强背景模型的方法和装置。 背景模型被修改为包含通常静止的对象的指示。 此后，如果对象移动并且已经被先前识别为通常是静止的对象，则在背景前景分割期间，对象不会被不必要地被识别为前景的一部分。 在示例性实现中，移动对象被分为两组。 第一组包括通常独立移动的对象，第二组包括通常是静止的对象。 通常，一旦对象被分配给第二（静止对象）集合，即使对象被移动（通常，对象的移动将导致对象成为前景的一部分），对象将保持在背景中。

公开(公告)号：US07076102B2

公开(公告)日：2006-07-11

申请号：US10183673

申请日：2002-06-27

申请人： Yun-Ting Lin ,  Srinivas Gutta ,  Tomas Brodsky ,  Vasanth Philomin

发明人： Yun-Ting Lin ,  Srinivas Gutta ,  Tomas Brodsky ,  Vasanth Philomin

IPC分类号： G06K9/68

CPC分类号： G06K9/00771 ,  G06K9/00335 ,  G06K9/6297 ,  G06T7/277 ,  G06T2207/20081 ,  G08B13/19602 ,  G08B13/19613 ,  G08B13/19641 ,  G08B21/0476 ,  H04N7/181

摘要： A method and apparatus are disclosed for automatically learning and identifying events in image data using hierarchical HMMs to define and detect one or more events. The hierarchical HMMs include multiple paths that encompass variations of the same event. Hierarchical HMMs provide a framework for defining events that may be exhibited in various ways. Each event is modeled in the hierarchical HMM with a set of sequential states that describe the paths in a high-dimensional feature space. These models can then be used to analyze video sequences to segment and recognize each individual event to be recognized. The hierarchical HMM is generated during a training phase, by processing a number of images of the event of interest in various ways, typically observed from multiple viewpoints.

公开(公告)号：US06999613B2

公开(公告)日：2006-02-14

申请号：US10034670

申请日：2001-12-28

申请人： Antonio J. Colmenarez ,  Srinivas Gutta ,  Miroslav Trajkovic

发明人： Antonio J. Colmenarez ,  Srinivas Gutta ,  Miroslav Trajkovic

IPC分类号： G06K9/62

CPC分类号： H04N7/181 ,  G06K9/6297 ,  G08B13/1961 ,  G08B13/19645

摘要： Aspects of the present invention can be configured to demultiplex an asynchronously multiplexed video signal, which comprises images from a number of different cameras. Image matching techniques are used to assign input images with states. After a period, the number of states will generally equal the number of input cameras. The states may be modeled through any number of techniques, such as histogram analysis, clustering, and hidden Markov model analysis. Input images are assigned to states, and the input images are output as being associated with the states. Zone surveillance may be performed on a series of images from one or more of the states. Any events that occur can be distinguished and reported.

公开(公告)号：US06965885B2

公开(公告)日：2005-11-15

申请号：US10055352

申请日：2002-01-22

申请人： Srinivas Gutta ,  Vasanth Philomin ,  Miroslav Trajkovic

发明人： Srinivas Gutta ,  Vasanth Philomin ,  Miroslav Trajkovic

IPC分类号： G06N3/00 ,  G06K9/62 ,  G06N3/08 ,  G06E1/00 ,  G06E3/00 ,  G06F15/18 ,  G06G7/00

CPC分类号： G06K9/6251 ,  G06N3/08

摘要： The learning rate used for updating the weights of a self-ordering feature map is determined by a process that injects some type of perturbation into the value so that it is not simply monotonically decreased with each training epoch. For example, the learning rate may be generated according to a pseudorandom process. The result is faster convergence of the synaptic weights.

摘要翻译： 用于更新自排序特征图的权重的学习率由将某些类型的扰动注入到该值中的过程来确定，使得它不是随着每个训练时期简单地单调减少。 例如，可以根据伪随机过程生成学习速率。 结果是突触体重的收敛更快。

公开(公告)号：US06910037B2

公开(公告)日：2005-06-21

申请号：US10093329

申请日：2002-03-07

申请人： Srinivas Gutta ,  Vasanth Philomin ,  Miroslav Trajkovic

发明人： Srinivas Gutta ,  Vasanth Philomin ,  Miroslav Trajkovic

IPC分类号： G06F17/30

CPC分类号： G06F17/30873 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99937

摘要： A system and method is disclosed for taking the results of a search (i.e., electronic documents) using the TFIDF of terms contained in those search result documents to quantify how related the search result documents are to one another, and organizing the search results based on those qualified relations. Using such a system and method, the search result documents can be displayed in such a manner that the relationships between the search result documents is evident to the viewer.

摘要翻译： 公开了使用这些搜索结果文档中包含的术语的TFIDF来搜索搜索结果（即，电子文档）的系统和方法，以量化搜索结果文档彼此之间的相关性，并且基于 那些合格的关系。 使用这样的系统和方法，搜索结果文档可以以这样的方式显示，即搜索结果文档之间的关系对于观看者是显而易见的。

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：US06825769B2

公开(公告)日：2004-11-30

申请号：US09952058

申请日：2001-09-14

申请人： Antonio Colmenarez ,  Srinivas Gutta ,  Miroslav Trajkovic

发明人： Antonio Colmenarez ,  Srinivas Gutta ,  Miroslav Trajkovic

IPC分类号： G08B2300

CPC分类号： H05B37/0227 ,  G06K9/00771 ,  Y02B20/44

摘要： A method and system for the automatic detection of a sleeping person and for adjusting electrical power supplied to a number of electronic devices; it includes a unit for observing the behavior of a person in a predetermined area under surveillance and a unit for analyzing output data from the observing unit to determine whether the observed behavior is associated with predefined sleeping behaviors. Upon recognition that the observed behavior indicates the sleeping state of a person, the electrical power supplied to the plurality of electronic devices is selectively adjusted according to predetermined criteria.

摘要翻译： 一种用于自动检测睡眠者并用于调节提供给多个电子设备的电力的方法和系统; 它包括用于观察监视中的预定区域中的人的行为的单元和用于分析来自观察单元的输出数据的单元，以确定观察到的行为是否与预定义的睡眠行为相关联。 当识别到观察到的行为指示人的睡眠状态时，根据预定标准选择性地调整提供给多个电子设备的电力。

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。