公开(公告)号：US20170249516A1

公开(公告)日：2017-08-31

申请号：US15516965

申请日：2014-10-13

Applicant: TELECOM ITALIA S.p.A.

Inventor： Skjalg LEPSØY ,  Massimo BALESTRI ,  Gianluca FRANCINI

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/00758 ,  G06K9/6211 ,  G06K9/6215

Abstract: 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.

公开(公告)号：US20160155014A1

公开(公告)日：2016-06-02

申请号：US14906218

申请日：2014-07-23

Applicant: TELECOM ITALIA S.P.A.

Inventor： Massimo BALESTRI ,  Gianluca FRANCINI ,  Skjalg LEPSOY

IPC: G06K9/46

CPC classification number: G06K9/4671 ,  G06K9/4609 ,  G06K9/4652

Abstract: A method for identifying keypoints in a digital image including a set of pixels. Each pixel has associated thereto a respective value of an image representative parameter. The method includes approximating a filtered image. The filtered image depends on a filtering parameter and includes for each pixel of the image a filtering function that depends on the filtering parameter to calculate a filtered value of the value of the representative parameter of the pixel. The approximating includes: a) generating a set of base filtered images; each base filtered image is the image filtered with a respective value of the filtering parameter; b) for each pixel of at least a subset of the set of pixels, approximating the filtering function by a respective approximation function based on the base filtered images; the approximation function is a function of the filtering parameter within a predefined range of the filtering parameter.

Abstract translation: 一种用于识别包括一组像素的数字图像中的关键点的方法。 每个像素与其相关联地具有图像代表参数的相应值。 该方法包括近似滤波图像。 滤波后的图像取决于滤波参数，并且对于图像的每个像素包括依赖于滤波参数的滤波函数，以计算像素的代表性参数的值的滤波值。 近似值包括：a）生成一组基本滤波图像; 每个基本过滤图像是用过滤参数的相应值过滤的图像; b）对于所述像素集合的至少一个子集的每个像素，通过基于所述基本滤波图像的相应近似函数近似所述滤波函数; 近似函数是过滤参数的预定义范围内的过滤参数的函数。