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    • 3. 发明公开
    • METHOD AND SYSTEM OF CONTENT RECOMMENDATION
    • VERFAHREN UND SYSTEM ZUR INHALTSEMPFEHLUNG
    • EP2374099A1
    • 2011-10-12
    • EP08875564.0
    • 2008-12-30
    • Telecom Italia S.p.A.
    • LEPSØY, SkjalgFRANCINI, GianlucaANTONELLI, Fabrizio
    • G06Q30/00G06F17/30
    • G06F17/3069G06F17/30616G06Q30/02
    • A method of content recommendation (400), comprising: generating (402) a first digital mathematical representation of contents to associate the contents with a first plurality of words describing the contents; generating (403) a second digital mathematical representation of text documents different from said contents to associate said documents with a second plurality of words; processing (404) the first and second pluralities of words to determine a common plurality of words; processing (405) the first and second digital mathematical representations to generate a common digital mathematical representation of the contents and the text documents (G
      3 ) based on the common plurality of words; and providing content recommendation (406) by processing the common digital mathematical representation.
    • 一种内容推荐方法,包括:生成内容的第一数字数学表示,以将内容与描述内容的第一多个单词相关联; 生成不同于内容的文本文档的第二数字数学表示,以将文档与第二多个单词相关联; 处理第一和第二多个单词以确定常用的多个单词; 处理第一和第二数字数学表示以基于共同的多个单词生成内容和文本文档的公共数字数学表示; 并通过处理公共数字数学表示来提供内容推荐。
    • 8. 发明公开
    • METHOD FOR DETERMINING DENSE DISPARITY FIELDS IN STEREO VISION
    • VERFAHREN ZUR BESTIMMUNG VON DICHTENDISPARITÄTSFELDERNIN DER STEREOSKOPIE
    • EP1964412A1
    • 2008-09-03
    • EP05826173.6
    • 2005-12-21
    • Telecom Italia S.p.A.
    • FRANCINI, GianlucaCORDARA, GiovanniLEPSOY, Skjalg
    • H04N13/00
    • G06T7/97G06K9/209H04N13/246H04N2013/0081
    • In a stereo vision system comprising two cameras shooting the same scene from different positions, a method is performed for determining dense disparity fields between digital images shot by the two cameras, including the steps of capturing a first and a second image of the scene, and determining, for each pixel of the second image, the displacement from a point in the first image to such pixel of the second image minimizing an optical flow objective function, wherein the optical flow objective function includes, for each pixel of the second image, a term depending in a monotonously increasing way on the distance between the epipolar line associated with such pixel and the above point in the first image, such term depending on calibration parameters of the two cameras and being weighed depending on the uncertainty of the calibration data.
    • 在包括从不同位置拍摄相同场景的两个摄像机的立体视觉系统中,执行用于确定由两个摄像机拍摄的数字图像之间的密集视差场的方法,包括捕获场景的第一和第二图像的步​​骤,以及 为所述第二图像的每个像素确定从所述第一图像中的点到所述第二图像的所述像素的位移,使得所述光流目标函数最小化,其中所述光流目标函数对于所述第二图像的每个像素包括 这取决于与这种像素相关联的核线与第一图像中的上述点之间的距离的单调增加的方式,这个项取决于两个照相机的校准参数,并且根据校准数据的不确定性被称重。