Apparatus and method for extracting representative still images from MPEG video
    11.
    发明授权
    Apparatus and method for extracting representative still images from MPEG video 有权
    从MPEG视频中提取代表性静止图像的装置和方法

    公开(公告)号:US07747130B2

    公开(公告)日:2010-06-29

    申请号:US10573439

    申请日:2004-09-30

    CPC分类号: H04N5/783 H04N9/8042

    摘要: The present invention relates to an apparatus and method for extracting representative still images from Moving Picture Experts Group (MPEG) video. The apparatus includes a video curve generation unit for calculating the distances between the adjacent frames of all intra frames of input video and generating a video curve that is a cumulative curve of the distances; a video curve division unit for dividing the video curve into a certain number of segments; a still image selection unit for selecting video images corresponding to certain points of the divided video curve as representative still images; and a video output unit for outputting the still images selected by the still image generation unit. Accordingly, the present invention can summarize the video and provide representative still images to a user at high speed.

    摘要翻译: 本发明涉及从运动图像专家组(MPEG)视频中提取代表静止图像的装置和方法。 该装置包括视频曲线生成单元,用于计算输入视频的所有帧内的相邻帧之间的距离,并生成作为距离的累积曲线的视频曲线; 视频曲线分割单元,用于将视频曲线分割成一定数量的段; 静止图像选择单元,用于选择与分割视频曲线的某些点相对应的视频图像作为代表静止图像; 以及用于输出由静止图像生成单元选择的静止图像的视频输出单元。 因此,本发明可以总结视频并以高速向用户提供代表性的静止图像。

    DIGITAL VIDEO MANAGING AND SEARCHING SYSTEM
    13.
    发明申请
    DIGITAL VIDEO MANAGING AND SEARCHING SYSTEM 有权
    数字视频管理与搜索系统

    公开(公告)号:US20110150423A1

    公开(公告)日:2011-06-23

    申请号:US12971122

    申请日:2010-12-17

    IPC分类号: H04N9/80

    摘要: A system for managing and searching for a digital video includes: a video feature point extraction unit decoding an input video and extracting a feature point; a video feature point database (DB) storing and managing a feature point of a video to be compared (i.e., a comparison target video), and a video feature point comparison unit coarsely comparing the feature point of the input video and that of the comparison target video to acquire a candidate group, and minutely comparing the candidate group to detect a content repeated section, and informing a user of the content repeated section.

    摘要翻译: 用于管理和搜索数字视频的系统包括:视频特征点提取单元,对输入视频进行解码并提取特征点; 存储和管理要比较的视频的特征点(即,比较对象视频)的视频特征点数据库(DB)和粗略比较输入视频的特征点与比较对象的视频特征点比较单元 目标视频以获取候选组,并且仔细比较候选组以检测内容重复部分,并向用户通知内容重复部分。

    Image searching method and apparatus
    18.
    发明授权
    Image searching method and apparatus 有权
    图像搜索方法和装置

    公开(公告)号:US08520980B2

    公开(公告)日:2013-08-27

    申请号:US12648803

    申请日:2009-12-29

    IPC分类号: G06K9/54 G06K9/60 G06K9/00

    摘要: An image searching method includes: resizing an input image in question; generating 3D image identifiers for the resized input image in question; and performing an image search for the input image in question by using the 3D image identifiers. Said resizing an input image includes: extracting a black-and-white image and a color image from the input image in question; resizing the black-and-white image; and resizing the color image. Said generating 3D image identifiers includes: extracting an MGST feature of the input image in question; extracting an angular partition feature of the input image in question; and extracting a color feature of the input image in question. Further, said performing an image search includes: calculating similarity between representative colors of the input image in question and a reference image; and if the similarity is above a predetermined level, matching the 3D image identifiers for the two images.

    摘要翻译: 图像搜索方法包括:调整所述输入图像的大小; 为所调整大小的输入图像生成3D图像标识符; 以及通过使用3D图像标识符对所讨论的输入图像执行图像搜索。 所述调整输入图像的大小包括:从所述输入图像提取黑白图像和彩色图像; 调整黑白图像大小; 并调整彩色图像的大小。 所述生成3D图像标识符包括:提取所述输入图像的MGST特征; 提取所述输入图像的角分割特征; 并提取所讨论的输入图像的颜色特征。 此外,所述执行图像搜索包括:计算所述输入图像的代表颜色与参考图像之间的相似度; 并且如果相似度高于预定水平,则匹配两个图像的3D图像标识符。

    CHROMATOGRAPHIC SYSTEM FOR NUCLEIC ACID DETECTION
    19.
    发明申请
    CHROMATOGRAPHIC SYSTEM FOR NUCLEIC ACID DETECTION 审中-公开
    用于核酸检测的色谱系统

    公开(公告)号:US20120149008A1

    公开(公告)日:2012-06-14

    申请号:US13384190

    申请日:2010-07-15

    摘要: The present disclosure provides a strip for separation and sequence specific detection of nucleic acids in a sample, a system for sequence specific detection of nucleic acids comprising the strip of the present disclosure and an epifluorescence detection device, and a method for qualitative and/or quantitative determination of a nucleic acid using the strip. The strip, system and method of the present disclosure is easy to use and provides accurate and reliable results due to its high sensitivity and specificity in a relatively short analysis time compared to the conventional assays.

    摘要翻译: 本公开提供了用于样品中核酸的分离和序列特异性检测的条带,包含本公开的条带和落射荧光检测装置的核酸的序列特异性检测系统,以及用于定性和/或定量的方法 使用条带测定核酸。 本公开的条带,系统和方法易于使用,并且由于其与常规测定相比在相对短的分析时间内的高灵敏度和特异性而提供准确和可靠的结果。

    Method and systems for selecting test stimuli for use in evaluating performance of video watermarking methods
    20.
    发明授权
    Method and systems for selecting test stimuli for use in evaluating performance of video watermarking methods 有权
    用于选择测试刺激的方法和系统,用于评估视频水印方法的性能

    公开(公告)号:US08009859B2

    公开(公告)日:2011-08-30

    申请号:US11577030

    申请日:2005-10-18

    IPC分类号: G06K9/00

    摘要: Provided is a method of selecting test stimuli for use in evaluating performance of a video watermarking algorithm, including the steps of: calculating an image complexity rate (ICR) for each of a plurality of test stimulus candidates and classifying them into L (where L is an integer more than or equal to 2) levels based on the calculated ICR values; calculating an energy distribution rate (EDR) for each of the plurality of test stimulus candidates, and classifying them into M (where M is an integer more than or equal to 2) levels based on the calculated EDR values; calculating a motion rate (MR) for each of the plurality of test stimulus candidates and classifying them into N (where N is an integer more than or equal to 2) levels of the calculated MR values; and selecting at least one test stimulus from each of the L levels, M levels, the N levels of the test stimuli, respectively.

    摘要翻译: 提供了一种选择用于评估视频水印算法的性能的测试刺激的方法,包括以下步骤:计算多个测试刺激候选中的每一个的图像复杂度(ICR),并将它们分类为L(其中L是 基于所计算的ICR值的大于或等于2)的水平; 计算所述多个测试刺激候选中的每一个的能量分布率(EDR),并且基于所计算的EDR值将它们分类为M(其中M是大于或等于2的整数)级别; 计算多个测试刺激候选中的每一个的运动速率(MR),并将其分类为计算的MR值的N(其中N是大于或等于2的整数)的水平; 以及分别从L个级别,M个级别,N个级别的测试刺激中的每一个中选择至少一个测试刺激。