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1.发明授权公开(公告)号：US07203693B2
公开(公告)日：2007-04-10
申请号：US10167534
申请日：2002-06-12
IPC分类号： G06F17/30
CPC分类号： G06F17/30793 , G06F17/30811 , G06F2213/0038 , G06F2216/01 , Y10S707/99931 , Y10S707/99943
摘要： Techniques for indexing multimedia data substantially concurrently or contemporaneously with its capture to convert a real world event into an accessible database in real time are provided. The present invention introduces a new paradigm of converting a real world event in real time into a rich multimedia database by processing data from multiple sensors observing the event. Real time analysis of the sensor data, coupled with domain knowledge, results in instant indexing of multimedia data at capture time itself. This yields the semantic information to answer complex queries about the content, and the ability to extract portions of data that correspond to complex actions performed in the real world.
摘要翻译： 提供了与其捕获同时或同时索引多媒体数据以将实际世界事件实时转换为可访问数据库的技术。 本发明通过处理来自观察事件的多个传感器的数据，引入了将现实世界事件实时转换为丰富的多媒体数据库的新范例。 传感器数据的实时分析结合领域知识，导致捕获时间本身对多媒体数据的即时索引。 这产生语义信息以回答有关内容的复杂查询，以及提取与现实世界中执行的复杂动作相对应的数据部分的能力。
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2.发明授权公开(公告)号：US07143083B2
公开(公告)日：2006-11-28
申请号：US10167539
申请日：2002-06-12
IPC分类号： G06F17/30
CPC分类号： G06F17/3079 , G06F17/30811 , G06F17/3084 , G06F2216/01 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： Techniques for retrieval of multimedia data through visual representations are provided. Such visual representations, preferably in the form of visual activity maps or spatio-temporal activity maps, serve as an efficient and intuitive graphical user interface for multimedia retrieval, particularly when the media streams are derived from multiple sensors observing a physical environment. An architecture for interactive media retrieval is also provided by combining such visual activity maps with domain specific event information. Visual activity maps are derived from the trajectories of motion of objects in the environment. The visual activity map based techniques significantly help users in quickly and effectively discovering interesting portions of the data, and randomly accessing and retrieving the corresponding portions of the media streams.
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公开(公告)号：US08630924B2
公开(公告)日：2014-01-14
申请号：US11849180
申请日：2007-08-31
IPC分类号： G06Q10/00
CPC分类号： G06Q10/087
摘要： Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
摘要翻译： 图像分析技术，包括对象识别分析，应用于由库存环境中部署的一个或多个图像采集设备获得的图像。 对象识别分析基于存储的产品（训练）图像提供对象识别数据（可以包括一个或多个识别的产品实例）。 反过来，可以基于对象识别数据来启用各种功能。 例如，可以提取平面图并将其与目标平面图相比较，或者可以确定产品的至少一个产品显示参数并用于评估产品在库存环境中的存在，或者确定产品显示的符合性 推广目标。 在另一个实施例中，可以在单个图像内或在多个图像之间进行比较，以检测需要响应的潜在条件。 以这种方式，可以提高许多以前的手动执行的任务的效率和有效性。
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公开(公告)号：US20090060349A1
公开(公告)日：2009-03-05
申请号：US11849177
申请日：2007-08-31
IPC分类号： G06K9/50
CPC分类号： G06Q10/087 , G06K9/00664 , G06Q20/203
摘要： Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
摘要翻译： 图像分析技术，包括对象识别分析，应用于由库存环境中部署的一个或多个图像采集设备获得的图像。 对象识别分析基于存储的产品（训练）图像提供对象识别数据（可以包括一个或多个识别的产品实例）。 反过来，可以基于对象识别数据来启用各种功能。 例如，可以提取平面图并将其与目标平面图相比较，或者可以确定产品的至少一个产品显示参数并用于评估产品在库存环境中的存在，或者确定产品显示的符合性 推广目标。 在另一个实施例中，可以在单个图像内或在多个图像之间进行比较，以检测需要响应的潜在条件。 以这种方式，可以提高许多以前的手动执行的任务的效率和有效性。
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公开(公告)号：US20120059683A1
公开(公告)日：2012-03-08
申请号：US13039914
申请日：2011-03-03
CPC分类号： G06Q10/06 , G06Q10/0633
摘要： A method for implementing a closed-loop business process management lifecycle. The method comprising producing at least one to-be process model during a process analysis phase. Storing a copy of the at least one to-be process model. Automating the at least one to-be process model during a process automation phase. Producing data logs by applications implementing the automated to-be process models. Data mining the produced data logs during a process monitoring phase, to produce emerging to-be process models and updated to-be process models of automated to-be process models. Storing the emerging to-be process models and the updated to-be process models; and selecting ones of the stored emerging and updated to-be process models to provide to a new process analysis phase.
摘要翻译： 一种实现闭环业务流程管理生命周期的方法。 该方法包括在过程分析阶段期间产生至少一个待处理模型。 存储至少一个待处理模型的副本。 在过程自动化阶段自动化至少一个待处理模型。 通过实施自动化待处理模型的应用程序生成数据日志。 在流程监控阶段数据挖掘生成的数据日志，以生成新兴的流程模型和自动化流程模型的更新的流程模型。 存储新兴的待处理模型和更新的待处理模型; 并选择存储的新兴和更新的待处理模型以提供新的过程分析阶段。
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公开(公告)号：US08009864B2
公开(公告)日：2011-08-30
申请号：US11849177
申请日：2007-08-31
IPC分类号： G06K9/00
CPC分类号： G06Q10/087 , G06K9/00664 , G06Q20/203
摘要： Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
摘要翻译： 图像分析技术，包括对象识别分析，应用于由库存环境中部署的一个或多个图像采集设备获得的图像。 对象识别分析基于存储的产品（训练）图像提供对象识别数据（可以包括一个或多个识别的产品实例）。 反过来，可以基于对象识别数据来启用各种功能。 例如，可以提取平面图并将其与目标平面图相比较，或者可以确定产品的至少一个产品显示参数并用于评估产品在库存环境中的存在，或者确定产品显示的符合性 推广目标。 在另一个实施例中，可以在单个图像内或在多个图像之间进行比较，以检测需要响应的潜在条件。 以这种方式，可以提高许多以前的手动执行的任务的效率和有效性。
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7.发明授权公开(公告)号：US07030905B2
公开(公告)日：2006-04-18
申请号：US10062800
申请日：2002-01-31
IPC分类号： H04N7/18
CPC分类号： G01S3/7864 , A63B71/0605 , A63B2071/0611 , A63B2220/806 , G01S5/16 , G01S5/22 , G01S11/12 , G01S11/14 , G01V1/001 , G06T7/20
摘要： A method and apparatus for tracking an object using one or more video cameras together with a plurality of microphones and/or geophones, whereby accurate tracking of the object can be obtained even when the object changes directions as a result of an impact. A tennis ball may be tracked during a tennis match. Prior to and after an impact, the ball is tracked with the use of video cameras, illustratively in accordance with the method disclosed in U.S. Pat. No. 6,233,007. Then, the position of the ball at racket or ground impact is accurately determined by measuring the acoustical waves generated by the ball hitting the racket and/or either the acoustic waves or the elastic (Rayleigh) waves generated by the ball hitting the ground, respectively. Tracking then advantageously continues with use of the video cameras.
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8.发明授权Method and apparatus for intelligent and automatic sensor control using multimedia database system 有权使用多媒体数据库系统进行智能和自动传感器控制的方法和装置公开(公告)号：US08614741B2
公开(公告)日：2013-12-24
申请号：US10403443
申请日：2003-03-31
IPC分类号： H04N7/18
CPC分类号： H04N21/8133 , H04N7/181 , H04N21/21805 , H04N21/23418
摘要： Techniques for intelligent and automatic control of sensors for capturing data associated with real time events. Preferably, the sensors are associated with a multimedia database system. For example, a technique for controlling one or more sensors used to capture data associated with an event comprises the following steps/operations. First, sensor data captured in accordance with the event is processed. Then, the one or more sensors are automatically controlled based on information pertaining to the continual activity of at least one of one or more objects and one or more persons associated with the event in real time obtained using at least a portion of the processed data captured in accordance with the event.
摘要翻译： 用于智能和自动控制用于捕获与实时事件相关的数据的传感器的技术。 优选地，传感器与多媒体数据库系统相关联。 例如，用于控制用于捕获与事件相关联的数据的一个或多个传感器的技术包括以下步骤/操作。 首先，处理根据事件捕获的传感器数据。 然后，一个或多个传感器被自动控制，该信息是基于与使用至少一部分被处理数据捕获的实时获得的实时相关联的一个或多个对象和一个或多个与事件相关联的一个或多个人的持续活动的信息来自动控制的 按照事件。
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公开(公告)号：US08321251B2
公开(公告)日：2012-11-27
申请号：US13039914
申请日：2011-03-03
IPC分类号： G06Q40/00
CPC分类号： G06Q10/06 , G06Q10/0633
摘要： A method for implementing a closed-loop business process management lifecycle. The method comprising producing at least one to-be process model during a process analysis phase. Storing a copy of the at least one to-be process model. Automating the at least one to-be process model during a process automation phase. Producing data logs by applications implementing the automated to-be process models. Data mining the produced data logs during a process monitoring phase, to produce emerging to-be process models and updated to-be process models of automated to-be process models. Storing the emerging to-be process models and the updated to-be process models; and selecting ones of the stored emerging and updated to-be process models to provide to a new process analysis phase.
摘要翻译： 一种实现闭环业务流程管理生命周期的方法。 该方法包括在过程分析阶段期间产生至少一个待处理模型。 存储至少一个待处理模型的副本。 在过程自动化阶段自动化至少一个待处理模型。 通过实施自动化待处理模型的应用程序生成数据日志。 在流程监控阶段数据挖掘生成的数据日志，以生成新兴的流程模型和自动化流程模型的更新的流程模型。 存储新兴的待处理模型和更新的待处理模型; 并选择存储的新兴和更新的待处理模型以提供新的过程分析阶段。
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公开(公告)号：US07949568B2
公开(公告)日：2011-05-24
申请号：US11849171
申请日：2007-08-31
CPC分类号： G06Q10/087 , G06K9/00 , G06Q20/203 , G06Q20/208
摘要： Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
摘要翻译： 图像分析技术，包括对象识别分析，应用于由库存环境中部署的一个或多个图像采集设备获得的图像。 对象识别分析基于存储的产品（训练）图像提供对象识别数据（可以包括一个或多个识别的产品实例）。 反过来，可以基于对象识别数据来启用各种功能。 例如，可以提取平面图并将其与目标平面图相比较，或者可以确定产品的至少一个产品显示参数并用于评估产品在库存环境中的存在，或者确定产品显示的符合性 推广目标。 在另一个实施例中，可以在单个图像内或多个图像之间进行比较，以检测需要响应的潜在条件。 以这种方式，可以提高许多以前的手动执行的任务的效率和有效性。
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