REPRESENTATIVE IMAGE SELECTION BASED ON HIERARCHICAL CLUSTERING
    1.
    发明申请
    REPRESENTATIVE IMAGE SELECTION BASED ON HIERARCHICAL CLUSTERING 有权
    基于层次聚类的代表性图像选择

    公开(公告)号:US20080205772A1

    公开(公告)日:2008-08-28

    申请号:US11677617

    申请日:2007-02-22

    IPC分类号: G06K9/62

    CPC分类号: G06F17/3028 G06K9/00711

    摘要: In a computer-mediated method for providing representative images, image records are classified spatio-temporally into groups. In each group, image records are partitioned into clusters and the hierarchically highest cluster is ascertained. The partitioning is between a hierarchy of feature clusters and a remainder cluster, based on a predetermined plurality of saliency features. Feature clusters each have one or more of the saliency features. The remainder cluster lacks the saliency features. Feature clusters are each exclusive of the saliency features of any higher clusters in the hierarchy and non-exclusive of the saliency features of any lower feature clusters in the hierarchy. A representative image of each group is designated from respective image records based on: the respective saliency feature of the highest cluster when the highest cluster is a feature cluster and independent of the saliency features when the highest cluster is the remainder cluster.

    摘要翻译: 在用于提供代表性图像的计算机介导的方法中,图像记录被时空分类成组。 在每个组中,图像记录被划分成簇,并确定分层最高的簇。 基于预定的多个显着特征,划分在特征簇的层次结构和余数簇之间。 特征簇各自具有一个或多个显着特征。 其余集群缺乏显着特征。 功能集群各自排除层次结构中任何较高集群的显着特征,而不排除层次结构中任何较低特征集群的显着特征。 每个组的代表图像基于:当最高簇是特征簇时最高簇的相应显着特征,并且当最高簇是余簇时独立于显着特征,从各个图像记录中指定。

    Representative image selection based on hierarchical clustering
    2.
    发明授权
    Representative image selection based on hierarchical clustering 有权
    基于层次聚类的代表性图像选择

    公开(公告)号:US07869658B2

    公开(公告)日:2011-01-11

    申请号:US11677617

    申请日:2007-02-22

    IPC分类号: G06K9/62

    CPC分类号: G06F17/3028 G06K9/00711

    摘要: In a computer-mediated method for providing representative images, image records are classified spatio-temporally into groups. In each group, image records are partitioned into clusters and the hierarchically highest cluster is ascertained. The partitioning is between a hierarchy of feature clusters and a remainder cluster, based on a predetermined plurality of saliency features. Feature clusters each have one or more of the saliency features. The remainder cluster lacks the saliency features. Feature clusters are each exclusive of the saliency features of any higher clusters in the hierarchy and non-exclusive of the saliency features of any lower feature clusters in the hierarchy. A representative image of each group is designated from respective image records based on: the respective saliency feature of the highest cluster when the highest cluster is a feature cluster and independent of the saliency features when the highest cluster is the remainder cluster.

    摘要翻译: 在用于提供代表性图像的计算机介导的方法中,图像记录被时空分类成组。 在每个组中,图像记录被划分成簇,并确定分层最高的簇。 基于预定的多个显着特征,划分在特征簇的层次结构和余数簇之间。 特征簇各自具有一个或多个显着特征。 其余集群缺乏显着特征。 功能集群各自排除层次结构中任何较高集群的显着特征,而不排除层次结构中任何较低特征集群的显着特征。 每个组的代表图像基于:当最高簇是特征簇时最高簇的相应显着特征,并且当最高簇是余簇时独立于显着特征,从各个图像记录中指定。

    Automated videography based communications
    3.
    发明授权
    Automated videography based communications 有权
    基于自动摄像的通信

    公开(公告)号:US08237771B2

    公开(公告)日:2012-08-07

    申请号:US12411431

    申请日:2009-03-26

    IPC分类号: H04N7/14

    摘要: A method for framing subjects captured on video includes receiving video of a subject and determining a current shot framing of the subject. A magnitude and a direction of movement of the subject is determined, relative to the current framing and a level of motion threshold. The subject movement is analyzed relative to the determined magnitude, direction of subject movement, and the current framing, to determine that the subject is properly framed by the current shot framing or whether modifications of the current shot framing are required to capture the moving subject, or to determine a new shot selection and new shot framing. The camera re-frames the subject if the subject is determined not to be properly framed, in accordance with the determined modifications of the current shot framing, the new shot selection and new shot framing. Video images are provided to a remote viewer.

    摘要翻译: 用于构图在视频上拍摄的被摄体的方法包括接收被摄体的视频并确定被摄体的当前拍摄框架。 相对于当前的成帧和运动阈值的水平来确定被摄体的大小和运动方向。 相对于确定的大小,被摄体移动的方向和当前的成帧来分析被摄体移动,以确定被摄体是否被当前拍摄框架适当地构图,或者是否需要修改当前拍摄框架以捕获移动的被摄体, 或者确定新的拍摄选择和新的拍摄框架。 根据当前拍摄框架,新的拍摄选择和新的拍摄框架的确定的修改,如果被摄体被确定为不被正确地构图,照相机将对主体重新构图。 视频图像提供给远程查看器。

    Personal controls for personal video communications
    4.
    发明授权
    Personal controls for personal video communications 有权
    用于个人视频通信的个人控制

    公开(公告)号:US08159519B2

    公开(公告)日:2012-04-17

    申请号:US11756536

    申请日:2007-05-31

    IPC分类号: H04N7/14

    CPC分类号: H04N7/147

    摘要: Video communication systems and methods for operating the same are provided with the method determining privacy settings for a video communication event; establishing a video communication link with a video communication system at a remote site; capturing video images of a field of view of at least one image capture device; determining a video context based at least in part upon a determined contextual classification for the communication event; analyzing the captured video images to identify privacy sensitive areas in the captured video images, using a scene analysis algorithm which examines a content of the video images and image context characteristics of the video images based upon the determined privacy settings; modifying the image characteristics in identified privacy sensitive image areas of captured video images, to control the image and image context characteristics to an extent consistent with the determined privacy settings; and transmitting the modified video images.

    摘要翻译: 视频通信系统及其操作方法具有确定视频通信事件的隐私设置的方法; 在远程站点建立与视频通信系统的视频通信链路; 捕获至少一个图像捕获设备的视场的视频图像; 至少部分地基于所述通信事件的确定的上下文分类来确定视频上下文; 基于确定的隐私设置,使用检查视频图像的内容和视频图像的图像上下文特征的场景分析算法来分析所捕获的视频图像以识别所捕获的视频图像中的隐私敏感区域; 修改捕获的视频图像的所识别的隐私敏感图像区域中的图像特征,以在与所确定的隐私设置一致的程度上控制图像和图像上下文特征; 并发送修改的视频图像。

    EVALUATING SUBJECT INTERESTS FROM DIGITAL IMAGE RECORDS
    5.
    发明申请
    EVALUATING SUBJECT INTERESTS FROM DIGITAL IMAGE RECORDS 有权
    从数字图像记录评估主题

    公开(公告)号:US20120008876A1

    公开(公告)日:2012-01-12

    申请号:US13235737

    申请日:2011-09-19

    IPC分类号: G06K9/54

    摘要: A method of evaluating a user subject interest is based at least upon an analysis of a user's collection of digital image records and is implemented at least in part by a data processing system. The method receives a defined user subject interest, receives a set of content requirements associated with the defined user-subject-interest, and identifies a set of digital image records from the collection of digital image records each having image characteristics in accord with the content requirements. A subject-interest trait associated with the defined user-subject-interest is evaluated based at least upon an analysis of the set of digital image records or characteristics thereof. The subject-interest trait is associated with the defined user-subject-interest in a processor-accessible memory.

    摘要翻译: 评估用户对象兴趣的方法至少基于用户对数字图像记录的收集的分析,并且至少部分地由数据处理系统来实现。 该方法接收定义的用户主题感兴趣,接收与定义的用户主题兴趣相关联的一组内容要求,并且从数字图像记录集合中识别出数字图像记录集合,每个数字图像记录具有符合内容要求的图像特征 。 至少基于对该组数字图像记录或其特征的分析来评估与所定义的用户主题兴趣相关联的主题兴趣特征。 主题兴趣特征与处理器可访问存储器中定义的用户主题兴趣相关联。

    Producing stereoscopic image
    8.
    发明授权
    Producing stereoscopic image 有权
    制作立体图像

    公开(公告)号:US08600151B2

    公开(公告)日:2013-12-03

    申请号:US12983343

    申请日:2011-01-03

    IPC分类号: H04N15/00 G03B27/32 G02B27/22

    摘要: A method of producing a digital stereoscopic image using a processor is disclosed. The method includes providing a plurality of digital image files which include digital images and the time of capture of each image and using time of capture to identify candidate pairs of images. The method further includes using the processor to analyze the image content of the candidate pairs of images to identify at least one image pair that can be used to produce a stereoscopic image; and using an identified image pair to produce the digital stereoscopic image.

    摘要翻译: 公开了一种使用处理器产生数字立体图像的方法。 该方法包括提供多个数字图像文件,其包括数字图像和捕获每个图像的时间,并使用捕获时间来识别候选的图像对。 所述方法还包括使用所述处理器来分析所述候选对图像的图像内容,以识别可用于产生立体图像的至少一个图像对; 并使用识别的图像对来产生数字立体图像。

    TEXTUAL INFORMATION EXTRACTION METHOD USING MULTIPLE IMAGES
    9.
    发明申请
    TEXTUAL INFORMATION EXTRACTION METHOD USING MULTIPLE IMAGES 有权
    使用多个图像的文本信息提取方法

    公开(公告)号:US20130315485A1

    公开(公告)日:2013-11-28

    申请号:US13478389

    申请日:2012-05-23

    IPC分类号: G06K9/18

    摘要: A method for extracting textual information from a document containing text characters using a digital image capture device. A plurality of digital images of the document are captured using the digital image capture device. Each of the captured digital images is automatically analyzed using an optical character recognition process to determine extracted textual data. The extracted textual data for the captured digital images are merged to determine the textual information for the document, wherein differences between the extracted textual data for the captured digital images are analyzed to determine the textual information for the document.

    摘要翻译: 一种使用数字图像捕捉设备从包含文本字符的文档中提取文本信息的方法。 使用数字图像捕获装置捕获文档的多个数字图像。 使用光学字符识别处理来自动分析所捕获的数字图像中的每一个,以确定提取的文本数据。 所获取的数字图像的文本数据被合并以确定文档的文本信息,其中分析所提取的数字图像的文本数据之间的差异,以确定文档的文本信息。

    EVENT CLASSIFICATION METHOD USING LIGHT SOURCE DETECTION
    10.
    发明申请
    EVENT CLASSIFICATION METHOD USING LIGHT SOURCE DETECTION 失效
    使用光源检测的事件分类方法

    公开(公告)号:US20130058583A1

    公开(公告)日:2013-03-07

    申请号:US13226885

    申请日:2011-09-07

    IPC分类号: G06K9/62

    CPC分类号: G06K9/00684 G06F17/30247

    摘要: A method for determining an event classification for digital images, comprising: receiving one or more digital images; detecting one or more man-made light emitting sources within the one or more digital images; using a data processor to automatically determine an event classification responsive to analyzing a spatial arrangement of the detected man-made light emitting sources in the one or more digital images; and storing metadata in a processor-accessible memory associating the determined event classification with each of the one or more digital images.

    摘要翻译: 一种用于确定数字图像的事件分类的方法,包括:接收一个或多个数字图像; 检测所述一个或多个数字图像内的一个或多个人造发光源; 使用数据处理器来响应于分析所述一个或多个数字图像中检测到的人造发光源的空间布置来自动确定事件分类; 以及将元数据存储在处理器可访问存储器中,将所确定的事件分类与所述一个或多个数字图像中的每一个相关联。