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    IMAGE SELECTION BASED ON PHOTOGRAPHIC STYLE
    1.
    发明申请
    IMAGE SELECTION BASED ON PHOTOGRAPHIC STYLE 有权
    基于摄影风格的图像选择

    公开(公告)号：US20130315477A1

    公开(公告)日：2013-11-28

    申请号：US13480598

    申请日：2012-05-25

    申请人： NAILA MURRAY ,  LUCA MARCHESOTTI

    发明人： NAILA MURRAY ,  LUCA MARCHESOTTI

    IPC分类号： G06K9/62

    CPC分类号： G06F17/30265 ,  G06F17/30247

    摘要： A system and method are disclosed for image selection based on photographic style in which photographic style annotations are learned using a data-driven approach. The method includes assigning a style value for each of a set of photographic style categories to each of a set of database images with a trained classifier of a computing device. A user's selection of a subset of the photographic style categories, such as three style categories, is received. A user interface is generated for assigning values to each of the selected photographic style categories. A set of database images is identified, based on the assigned values for each of the selected photographic style categories and the style values for each of the selected photographic style categories of the database images.

    摘要翻译： 公开了一种基于摄影风格进行图像选择的系统和方法，其中使用数据驱动方法学习摄影风格注释。 该方法包括使用计算设备的训练分类器为一组数据库图像中的每一个分配一组照相风格类别中的每一个的风格值。 接收用户对摄影风格类别子集的选择，例如三种风格类别。 生成用于将值分配给每个所选择的照相风格类别的用户界面。 基于所选择的摄影风格类别的分配值和数据库图像的所选择的摄影风格类别中的每一个的样式值，识别一组数据库图像。

    CONVEX CLUSTERING FOR CHROMATIC CONTENT MODELING
    2.
    发明申请
    CONVEX CLUSTERING FOR CHROMATIC CONTENT MODELING 有权
    CONVEX聚类用于色彩内容建模

    公开(公告)号：US20120163715A1

    公开(公告)日：2012-06-28

    申请号：US12975753

    申请日：2010-12-22

    申请人： NAILA MURRAY ,  Florent Perronnin ,  Luca Marchesotti ,  Sandra Skaff

    发明人： NAILA MURRAY ,  Florent Perronnin ,  Luca Marchesotti ,  Sandra Skaff

    IPC分类号： G06K9/00

    CPC分类号： G06K9/4652 ,  G06K9/6222 ,  G06N7/005 ,  G06T7/11 ,  G06T7/143 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/20076 ,  G06T2207/20081

    摘要： A system and method are provided for modeling a chromatic object, such as an image. For a set of colors of a chromatic object that are expressed as color values in a perceptual color space, the method includes optimizing a convex objective function which is a log likelihood function of a combination of weighted kernels centered on each color in the set over each of the other colors in the set. A number Nc of weighted kernels in the optimized function which each have a weight which is at least greater than 0 is identified. The chromatic object is modeled with a mixture model in which the complexity of the model is based on the identified number Nc.

    摘要翻译： 提供了一种用于对诸如图像的彩色物体进行建模的系统和方法。 对于在感知色彩空间中表示为彩色值的彩色物体的一组颜色，该方法包括优化凸目标函数，该目标函数是集中在每组中的每种颜色的加权核的组合的对数似然函数 的集合中的其他颜色。 确定每个具有至少大于0的权重的优化函数中的N c个加权内核。 彩色物体用混合模型建模，其中模型的复杂性基于识别的数量Nc。