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    • 48. 发明申请
    • DETECTING SEGMENTS OF A VIDEO PROGRAM
    • 检测视频节目的部分
    • WO2016148807A1
    • 2016-09-22
    • PCT/US2016/017528
    • 2016-02-11
    • NETFLIX, INC.
    • KANSARA, Apurvakumar
    • G06K9/00H04N21/00
    • G06K9/00744G06K9/00758G06K9/4652G11B27/005G11B27/34H04N21/23418H04N21/458H04N21/6547
    • In an embodiment, a data store storing a first video and a second video that is associated with the first video; a computer processor coupled to the data store and programmed to: generate a first model fingerprint of the first video, based on pixels in a first model frame in a first model segment of the first video stored in the data store; generate a first test fingerprint of the second video based on pixels in a first test frame in the second video stored in the data store; determine a first closeness value between the first model fingerprint and the first test fingerprint; determine, based on the first closeness value, whether the first test frame is a first boundary of a first segment in the second video, wherein the first segment in the second video is similar to the first model segment in the first video.
    • 在一个实施例中,存储与第一视频相关联的第一视频和第二视频的数据存储器; 计算机处理器,耦合到数据存储器并被编程为:基于存储在数据存储器中的第一视频的第一模型段中的第一模型帧中的像素,生成第一视频的第一模型指纹; 基于存储在数据存储器中的第二视频中的第一测试帧中的像素生成第二视频的第一测试指纹; 确定第一模型指纹和第一测试指纹之间的第一接近度值; 基于第一接近度值确定第一测试帧是否是第二视频中的第一段的第一边界,其中第二视频中的第一段类似于第一视频中的第一模型段。
    • 49. 发明申请
    • METHOD AND SYSTEM FOR COMPARING VIDEO SHOTS
    • 用于比较视频拍摄的方法和系统
    • WO2016058626A1
    • 2016-04-21
    • PCT/EP2014/071878
    • 2014-10-13
    • TELECOM ITALIA S.P.A.
    • LEPSØY, SkjalgBALESTRI, MassimoFRANCINI, Gianluca
    • G06K9/00G06K9/62
    • G06K9/00758G06K9/6211G06K9/6215
    • A method (100) for comparing a first video shot (Vs1) comprising a first set of first images (I1(s)) with a second video shot (Vs2) comprising a second set of second images (I2(t)), at least one between the first and the second set comprising at least two images. The method comprises pairing (110) each first image of the first set with each second image of the second set to form a plurality of images pairs (IP(m)), and, for each image pair, carrying out the operations a) –g): a) identifying (120) first interest points in the first image and second interest points in the second image; b) associating (120) first interest points with corresponding second interest points in order to form corresponding interest point matches; c) for each pair of first interest points, calculating (130) the distance therebetween for obtaining a corresponding first length; d) for each pair of second interest points, calculating (130) the distance therebetween for obtaining a corresponding second length; e) calculating a plurality of distance ratios (130), each distance ratio corresponding to a selected pair of interest point matches and being based on a ratio of a first term and a second term or on a ratio of the second term and the first term, said first term corresponding to the distance between the first interest points of said pair of interest point matches and said second term corresponding to the distance between the second interest points of said pair of interest point matches; f) computing (140) a first representation of the statistical distribution of the plurality of calculated distance ratios; g)computing (150) a second representation of the statistical distribution of distance ratios obtained under the hypothesis that all the interest point matches in the image pair are outliers. -The method further comprises generating (160) a first global representation of the statistical distribution of the plurality of calculated distance ratios computed for all the image pairs based on the first representations of all the image pairs; generating (170) a second global representation of the statistical distribution of distance ratios obtained under the hypothesis that all the interest point matches in all the image pairs are outliers based on the second representations of all the image pairs; comparing (180) said first global representation with said second global representation, and assessing (190) whether the first video shot contains a view of an object depicted in the second video shot based on said comparison.
    • 一种用于将包括第一组第一图像(I1(s))的第一视频镜头(Vs1)与包括第二组第二图像(I2(t))的第二视频镜头(Vs2)进行比较的方法(100) 在第一和第二组之间的至少一个包括至少两个图像。 该方法包括将第一组的每个第一图像与第二组的每个第二图像配对(110)以形成多个图像对(IP(m)),并且对于每个图像对,执行操作a) - g):a)识别(120)第一图像中的第一个兴趣点和第二个图像中的第二个兴趣点; b)将(120)第一兴趣点与相应的第二个兴趣点相关联,以形成相应的兴趣点匹配; c)对于每对第一兴趣点,计算(130)其间的距离以获得相应的第一长度; d)对于每对第二兴趣点,计算(130)其间的距离以获得对应的第二长度; e)计算多个距离比(130),每个距离比率对应于所选择的一对兴趣点匹配,并且基于第一项和第二项的比率,或者基于第二项和第一项的比率 所述第一项对应于所述一对兴趣点匹配的所述第一兴趣点之间的距离,并且所述第二项对应于所述一对兴趣点匹配的第二兴趣点之间的距离; f)计算(140)多个计算的距离比的统计分布的第一表示; g)计算(150)在图像对中的所有兴趣点匹配的假设下获得的距离比的统计分布的第二表示是异常值。 该方法还包括基于所有图像对的第一表示,生成(160)针对所有图像对计算的多个计算出的距离比的统计分布的第一全局表示; 生成(170)在所有图像对中所有兴趣点匹配的假设下获得的距离比的统计分布的第二全局表示是基于所有图像对的第二表示的离群值; 将所述第一全局表示与所述第二全局表示进行比较(180),以及评估(190)所述第一视频镜头是否包含基于所述比较在所述第二视频镜头中描绘的对象的视图。