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    • 53. 发明授权
    • System and method for automated classification of text by time slicing
    • 通过时间分片自动分类文本的系统和方法
    • US06990496B1
    • 2006-01-24
    • US09616631
    • 2000-07-26
    • Thomas Francis McGee, IIINevenka Dimitrova
    • Thomas Francis McGee, IIINevenka Dimitrova
    • G06F17/00
    • G06F17/30796G06F17/30746G06K9/62Y10S707/99942Y10S707/99943Y10S707/99945
    • For use in an information processing system, there is disclosed a system and method for automatically classifying text. The system comprises a text classifier controller that reads text having one or more keywords contained within one or more story segments within the text. The text classifier controller identifies keywords within each line, and, in response to identifying at least one keyword within a line of text, classifies that line of text as a part of a story segment within the text. The text classifier controller also identifies keyword transition points in the text where the number of detected keywords in a particular category of keywords decreases below a threshold number. The text classifier controller also identifies keyword transition points in the text where the number of detected keywords in a particular category of keywords increases above a threshold number. The text classifier controller classifies story segments based on the location of the keyword transition points.
    • 为了在信息处理系统中使用,公开了一种用于自动对文本进行分类的系统和方法。 该系统包括文本分类器控制器,其读取具有包含在文本内的一个或多个故事段内的一个或多个关键字的文本。 文本分类器控制器识别每行内的关键字,并且响应于在文本行内识别至少一个关键字,将文本行作为文本中的故事段的一部分进行分类。 文本分类器控制器还识别文本中的关键字转换点,其中特定关键类别的检测到的关键字的数量减少到阈值以下。 文本分类器控制器还识别文本中的关键字转换点,其中特定关键词类别中检测到的关键字的数量增加到阈值数以上。 文本分类器控制器根据关键字转换点的位置对故事段进行分类。
    • 55. 发明授权
    • Method and system for analyzing video content using detected text in video frames
    • 使用视频帧中检测到的文本分析视频内容的方法和系统
    • US06608930B1
    • 2003-08-19
    • US09370931
    • 1999-08-09
    • Lalitha AgnihotriNevenka DimitrovaJan H. Elenbaas
    • Lalitha AgnihotriNevenka DimitrovaJan H. Elenbaas
    • G06K934
    • G06F17/30796G06F17/30805G06F17/30817G06F17/3084G06K9/3266
    • There is disclosed, for use in video text analysis system, a video processing device for searching video streams for one or more user-selected image text attributes. The video processing device comprises an image processor capable detecting and extracting image text from video frames, determining attributes of the extracted image text, comparing the extracted image text attributes and the user-selected image text attributes, and, if a match occurs, modifying, transferring, and/or labeling at least a portion of the video stream in accordance with user commands. The invention uses the user-selected image text attributes to search through an archive of video clips to 1) locate particular types of events, such as news programs or sports events; 2) locate programs featuring particular persons or groups; 3) locate programs by name; 4) save or remove all or some commercials, and to otherwise sort, edit, and save all of, or portions of, video clips according to image text that appears in the frames of the video clips.
    • 公开了用于视频文本分析系统中的用于搜索一个或多个用户选择的图像文本属性的视频流的视频处理设备。 视频处理装置包括能够检测和提取来自视频帧的图像文本,确定提取的图像文本的属性,比较提取的图像文本属性和用户选择的图像文本属性的图像处理装置,并且如果匹配发生, 根据用户命令传送和/或标记视频流的至少一部分。 本发明使用用户选择的图像文本属性来搜索视频剪辑的归档以1)定位特定类型的事件,例如新闻节目或体育赛事; 2)查找特定个人或团体的节目; 3)按名称查找程序; 4)保存或删除所有或某些商业广告,并根据出现在视频剪辑的帧中的图像文本,对视频片段的全部或部分进行排序,编辑和保存。
    • 56. 发明授权
    • Apparatus and method for optimizing keyframe and blob retrieval and
storage
    • 用于优化关键帧和Blob检索和存储的设备和方法
    • US06119123A
    • 2000-09-12
    • US982972
    • 1997-12-02
    • Jan Hermanus ElenbaasNevenka Dimitrova
    • Jan Hermanus ElenbaasNevenka Dimitrova
    • G06F17/30H04N5/76H04N5/91G06F9/00
    • G06F17/30852G06F17/30858Y10S707/99943Y10S707/99945
    • A method and apparatus for forming a visual index of scenes in a video image which has been or is being recorded in a computer readable memory. A selected number of keyframes are derived from the recorded image, each being representative of a respective scene therein. The keyframes are then ordered into a selected number of levels of detail of the scenes represented thereby, each level including a predetermined number of keyframes, each subsequent level including keyframes of greater detail than those in a preceding level. A header file is then formed which is descriptive of the ordered set of keyframes, and the header file is stored together with the ordered set of keyframes in the computer readable memory. A user can thereby identify and obtain optimized retrieval in accordance with his preferences of particular segments of the video image from a relatively slow memory device. The method and apparatus are equally applicable to formation of an indexed order of binary large objects ("blobs") in a set of multimedia documents in accordance with a user's preferences.
    • 一种用于形成已经或正在记录在计算机可读存储器中的视频图像中的场景的视觉索引的方法和装置。 从所记录的图像中导出所选数量的关键帧,每个都代表其中的相应场景。 然后将关键帧排列成由其表示的场景的所选数量的细节级别,每个级别包括预定数量的关键帧,每个后续级别包括比先前级别更详细的关键帧。 然后形成标题文件,其描述关键帧的有序集合,并且头文件与计算机可读存储器中的有序关键帧集合一起存储。 因此,用户可以根据来自相对较慢的存储器设备的视频图像的特定片段的偏好来识别和获得优化的检索。 该方法和装置同样适用于根据用户的喜好在一组多媒体文档中形成二进制大对象(“blob”)的索引顺序。