Dynamic key frame generation and usage
    61.
    发明授权
    Dynamic key frame generation and usage 失效
    动态关键帧生成和使用

    公开(公告)号:US07418192B2

    公开(公告)日:2008-08-26

    申请号:US09805748

    申请日:2001-03-13

    IPC分类号: H04N5/91

    摘要: A dynamic method and system for processing video source frames (e.g., a television movie) with a video processing system (VPS) that includes a processor, a memory structure, input devices, and an output display. The video source frames, which are received by the VPS from a video source, are executed by the processor. While the video source frames are being executed, a subset of the frames, called key frames, are extracted from the video source frames and stored in the memory structure. The extracting of the key frames is implemented in accordance with a frame extraction algorithm. The extracting is terminated prior to completion of execution of the video source frames. Following termination of extracting, the key frames are reviewed by a user with the output display to determine whether to watch the remainder of the video source frames. The key frames are erased after being reviewed.

    摘要翻译: 一种用于处理具有包括处理器,存储器结构,输入设备和输出显示器的视频处理系统(VPS))的视频源帧(例如,电视电影)的动态方法和系统。 由VPS从视频源接收的视频源帧由处理器执行。 在执行视频源帧时,从视频源帧中提取称为关键帧的帧的子集,并将其存储在存储器结构中。 按照帧提取算法实现关键帧的提取。 在完成视频源帧的执行之前终止提取。 在提取结束之后,关键帧由具有输出显示的用户进行审查,以确定是否观看视频源帧的其余部分。 关键帧在审查后被删除。

    System and Method for Selectively Activating Biometric Sensors
    62.
    发明申请
    System and Method for Selectively Activating Biometric Sensors 审中-公开
    选择性激活生物识别传感器的系统和方法

    公开(公告)号:US20080122577A1

    公开(公告)日:2008-05-29

    申请号:US10556247

    申请日:2004-05-06

    IPC分类号: G06F7/04

    摘要: A system and method is provided for selectively activating biometric sensors (102, 104, 106) to authenticate the identity of an individual while conserving system resources. A biometric system has at least two tiers of sensors, first (102) and second tier sensors (104, 106), where the first tier sensors (102) are characteristically less sophisticated and less expensive to operate than the second tier sensors (104, 106). One or more of the second tier sensors (104, 106) are activated only after a user's biometric is successfully or unsuccessfully verified by one of the first tier sensors (102). Alternatively, the second tier sensors (104, 106) are activated in response to a user requesting a particular level of service or in response to an environmental condition. Alternatively, only those sensors are turned on which are compatible with a user's biometric profile.

    摘要翻译: 提供了一种系统和方法,用于选择性地激活生物测定传感器(102,104,106)以在保护系统资源的同时认证个体的身份。 生物测定系统具有至少两层的传感器,第一层(102)和第二层传感器(104,106),其中第一层传感器(102)的性能不如第二层传感器(104,106)要复杂且成本低, 106)。 在第一层传感器(102)之一成功或不成功地验证用户的生物特征之后,仅激活第二层传感器(104,106)中的一个或多个。 或者,第二层传感器(104,106)响应于用户请求特定服务水平或响应于环境条件而被激活。 或者,仅打开与用户的生物特征相​​容的传感器。

    Method and apparatus for detecting an event based on patterns of behavior
    63.
    发明授权
    Method and apparatus for detecting an event based on patterns of behavior 有权
    基于行为模式来检测事件的方法和装置

    公开(公告)号:US07369680B2

    公开(公告)日:2008-05-06

    申请号:US10184511

    申请日:2002-06-28

    IPC分类号: G06K9/00

    摘要: A system and apparatus are disclosed for modeling patterns of behavior of humans or other animate objects and detecting a violation of a repetitive pattern of behavior. The behavior of one or more persons is observed over time and features of the behavior are recorded in a multi-dimensional space. Over time, the multi-dimensional data provides an indication of patterns of human behavior. Activities that are repetitive in terms of time, location and activity, such as sleeping and eating, would appear as a Gaussian distribution or cluster in the multi-dimensional data. Probability distribution functions can be analyzed using known Gaussian or clustering techniques to identify repetitive patterns of behavior and characteristics thereof, such as a mean and variance. Deviations from repetitive patterns of behavior can be detected and an alarm can be triggered, if appropriate.

    摘要翻译: 公开了用于建模人类或其他动画对象的行为模式并检测违反重复行为模式的系统和装置。 随着时间的推移观察一个或多个人的行为,并且将行为的特征记录在多维空间中。 随着时间的推移,多维数据提供了人类行为模式的指示。 在时间,位置和活动(如睡眠和饮食)方面重复的活动将在多维数据中显示为高斯分布或聚类。 可以使用已知的高斯或聚类技术来分析概率分布函数,以识别其行为及其特征的重复模式,例如均值和方差。 如果适当,可以检测到重复行为模式的偏差,并且可以触发报警。

    Dominant Color Extraction Using Perceptual Rules to Produce Ambient Light Derived From Video Content
    64.
    发明申请
    Dominant Color Extraction Using Perceptual Rules to Produce Ambient Light Derived From Video Content 失效
    使用感知规则产生源自视频内容的环境光的主色提取

    公开(公告)号:US20070242162A1

    公开(公告)日:2007-10-18

    申请号:US11571283

    申请日:2005-06-27

    IPC分类号: H04N9/68

    摘要: Extracting and processing video content encoded in a rendered color space to be emulated by an ambient light source, using perceptual rules for intelligent dominant color selection. Steps include quantizing the video color space; performing dominant color extraction by using a mode, median, mean, or weighted average of pixel chromaticities; applying perceptual rules to further derive dominant chromaticities via [1] chromaticity transforms; [2] a weighted average using a pixel weighting function influenced by scene content; and [3] extended dominant color extraction where pixel weighting is reduced for majority pixels; and [4] transforming the dominant color chosen to the ambient light color space using tristimulus matrices. A color of interest can be further analyzed to produce a true dominant color, and past video frames can guide selection of dominant colors in future frames.

    摘要翻译: 提取和处理被渲染的颜色空间中编码的视频内容,以由环境光源模拟,使用智能主导颜色选择的感知规则。 步骤包括量化视频颜色空间; 通过使用像素色度的模式,中值,平均值或加权平均值来执行主要颜色提取; 应用感知规则通过[1]色度变换进一步导出主色; [2]使用受场景内容影响的像素加权函数的加权平均值; 和[3]扩展主色提取,其中大多数像素的像素加权减少; 和[4]使用三刺激矩阵将所选择的主要颜色转换为环境光色空间。 可以进一步分析感兴趣的颜色以产生真正的主色,并且过去的视频帧可以指导未来帧中的主色选择。

    Person tagging in an image processing system utilizing a statistical model based on both appearance and geometric features
    65.
    发明授权
    Person tagging in an image processing system utilizing a statistical model based on both appearance and geometric features 失效
    使用基于外观和几何特征的统计模型的图像处理系统中的人标记

    公开(公告)号:US07181046B2

    公开(公告)日:2007-02-20

    申请号:US11214382

    申请日:2005-08-29

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00295 G06K9/00369

    摘要: An image processing system processes a sequence of images to generate a statistical model for each of a number of different persons to be tagged so as to be identifiable in subsequent images. The statistical model for a given tagged person incorporates at least one appearance feature, such as color, texture, etc., and at least one geometric feature, such as shape or position of a designated region of similar appearance within one or more images. The models are applied to subsequent images in order to perform a person detection, person location and/or person tracking operation. An action of the image processing system is controlled based on a result of the operation.

    摘要翻译: 图像处理系统处理图像序列以为要标记的多个不同人物中的每一个生成统计模型,以便在随后的图像中可识别。 给定的标记的人的统计模型包括至少一个外观特征,例如颜色,纹理等,以及至少一个几何特征,例如在一个或多个图像内的类似外观的指定区域的形状或位置。 这些模型被应用于随后的图像,以便执行人物检测,人员位置和/或人物跟踪操作。 基于操作的结果来控制图像处理系统的动作。

    Method and system for automatically controlling a personalized networked environment
    67.
    发明授权
    Method and system for automatically controlling a personalized networked environment 有权
    自动控制个性化网络环境的方法和系统

    公开(公告)号:US07113074B2

    公开(公告)日:2006-09-26

    申请号:US09822452

    申请日:2001-03-30

    摘要: Using known methods of face recognition, appliances can be automatically initiated and/or adjusted as a user enters an environment, such as a home or a room. The environment is networked such that there is a communication link between a camera monitoring the entrance to the environment, a face recognition system, and the appliances. The method of automatically controlling a networked environment includes capturing a face image of an individual, storing the face image (i.e., in a memory), and associating at least one appliance setup to the face image. The method also includes comparing the face image to stored face images, retrieving the at least one appliance setup for a matched face image, and initiating the at least one appliance setup. An appliance setup controls turning on or off an appliance, such as an illumination source, a television, or a stereo.

    摘要翻译: 使用已知的面部识别方法,当用户进入诸如家庭或房间的环境时,可以自动启动和/或调整设备。 环境联网,使得在监视环境入口的摄像机,面部识别系统和设备之间存在通信链路。 自动控制网络环境的方法包括捕获个体的脸部图像,存储脸部图像(即,在存储器中),以及将至少一个装置设置与面部图像相关联。 该方法还包括将面部图像与存储的脸部图像进行比较,检索匹配的面部图像的至少一个装置设置,以及启动至少一个装置设置。 设备设置控制打开或关闭设备,例如照明源,电视或立体声。

    Method and system for automatically controlling a personalized networked environment

    公开(公告)号:US20060072791A1

    公开(公告)日:2006-04-06

    申请号:US09822452

    申请日:2001-03-30

    IPC分类号: G05B19/00

    摘要: Using known methods of face recognition, appliances can be automatically initiated and/or adjusted as a user enters an environment, such as a home or a room. The environment is networked such that there is a communication link between a camera monitoring the entrance to the environment, a face recognition system, and the appliances. The method of automatically controlling a networked environment includes capturing a face image of an individual, storing the face image (i.e., in a memory), and associating at least one appliance setup to the face image. The method also includes comparing the face image to stored face images, retrieving the at least one appliance setup for a matched face image, and initiating the at least one appliance setup. An appliance setup controls turning on or off an appliance, such as an illumination source, a television, or a stereo.

    Person tagging in an image processing system utilizing a statistical model based on both appearance and geometric features
    69.
    发明授权
    Person tagging in an image processing system utilizing a statistical model based on both appearance and geometric features 失效
    使用基于外观和几何特征的统计模型的图像处理系统中的人标记

    公开(公告)号:US06973201B1

    公开(公告)日:2005-12-06

    申请号:US09703423

    申请日:2000-11-01

    IPC分类号: G06T1/00 G06K9/00 G06T7/00

    CPC分类号: G06K9/00295 G06K9/00369

    摘要: An image processing system processes a sequence of images to generate a statistical model for each of a number of different persons to be tagged so as to be identifiable in subsequent images. The statistical model for a given tagged person incorporates at least one appearance feature, such as color, texture, etc., and at least one geometric feature, such as shape or position of a designated region of similar appearance within one or more images. The models are applied to subsequent images in order to perform a person detection, person location and/or person tracking operation. An action of the image processing system is controlled based on a result of the operation.

    摘要翻译: 图像处理系统处理图像序列以为要标记的多个不同人物中的每一个生成统计模型,以便在随后的图像中可识别。 给定的标记的人的统计模型包括至少一个外观特征,例如颜色,纹理等,以及至少一个几何特征,例如在一个或多个图像内的类似外观的指定区域的形状或位置。 这些模型被应用于随后的图像,以便执行人物检测,人员位置和/或人物跟踪操作。 基于操作的结果来控制图像处理系统的动作。

    Method and apparatus for automatic face blurring
    70.
    发明授权
    Method and apparatus for automatic face blurring 失效
    自动脸部模糊的方法和装置

    公开(公告)号:US06959099B2

    公开(公告)日:2005-10-25

    申请号:US10011612

    申请日:2001-12-06

    摘要: An image processing system is disclosed that provides automatic face or skin blurring for images. All faces or skin can be blurred, or specific faces can be blurred. In one aspect of the invention, a particular face is blurred on an image or on a series of images in a video. Faces are determined in an image, and face matching is performed to match a particular face to faces in the image. If a match is found, the face or a portion of the face is blurred in the image. The blurring is performed on a portion of the image containing the particular face. Blurring may be performed through a variety of techniques. In another aspect of the invention, voice processing is used as an adjunct to or in place of face analysis to determine if a face in an image or series of images should be blurred. In another aspect of the invention, all faces or human skin in an image or series of images is blurred.

    摘要翻译: 公开了一种为图像提供自动脸部或皮肤模糊的图像处理系统。 所有面部或皮肤都可以模糊,或者特定的面部可以模糊。 在本发明的一个方面,特定的脸部在视频中的图像或一系列图像上模糊。 在图像中确定面部,并且执行面部匹配以将特定面部与图像中的面部匹配。 如果找到匹配,脸部或脸部的一部分在图像中模糊。 在包含特定面部的图像的一部分上执行模糊。 可以通过各种技术来执行模糊。 在本发明的另一方面,语音处理用作面部分析的附加物或代替脸部分析,以确定图像中的脸部或一系列图像是否应该模糊。 在本发明的另一方面,图像或一系列图像中的所有面部或人体皮肤都模糊。