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    Method to assess aesthetic quality of photographs
    1.
    发明授权
    Method to assess aesthetic quality of photographs 失效
    评估照片审美品质的方法

    公开(公告)号：US08660342B2

    公开(公告)日：2014-02-25

    申请号：US13356846

    申请日：2012-01-24

    申请人： Pere Obrador ,  Michele Saad ,  Poonam Suryanarayan ,  Nuria Oliver

    发明人： Pere Obrador ,  Michele Saad ,  Poonam Suryanarayan ,  Nuria Oliver

    IPC分类号： G06K9/34

    CPC分类号： G06T7/0002 ,  G06K9/00664 ,  G06T2207/30168

    摘要： A method that includes classifying photographs into categories; generating computational models of image aesthetics, each computational model of image aesthetics associated to one different category of the categories; extracting a plurality of features from a photograph, the plurality of features including simplicity features, global features computed in the whole image and/or low-level features in contrasting regions of an image of the photograph, the contrasting regions being partitions of the image obtained by applying an image segmentation algorithm based on feature contrast to the photograph; and applying a computational model of image aesthetics to at least part of the plurality of features extracted from the photograph, the computational model applied according to the category of the photograph, in order to assess aesthetic quality of the photograph.

    摘要翻译： 一种包括将照片分类为类别的方法; 生成图像美学的计算模型，每个图像美学的计算模型与一个不同类别的类别相关联; 从照片中提取多个特征，多个特征包括简单特征，在整个图像中计算的全局特征和/或照片的图像的对比区域中的低级特征，对比区域是获得的图像的分区 通过应用基于与照片的特征对比度的图像分割算法; 以及将图像美学的计算模型应用于从照片提取的多个特征的至少一部分，根据照片的类别应用的计算模型，以评估照片的美学质量。

    ON-SITE COMPOSITION AND AESTHETICS FEEDBACK THROUGH EXEMPLARS FOR PHOTOGRAPHERS
    2.
    发明申请
    ON-SITE COMPOSITION AND AESTHETICS FEEDBACK THROUGH EXEMPLARS FOR PHOTOGRAPHERS 有权
    现场组合和美学反馈通过摄影师的例证

    公开(公告)号：US20120268612A1

    公开(公告)日：2012-10-25

    申请号：US13493564

    申请日：2012-06-11

    申请人： James Z. Wang ,  Jia Li ,  Lei Yao ,  Poonam Suryanarayan ,  Mu Qiao

    发明人： James Z. Wang ,  Jia Li ,  Lei Yao ,  Poonam Suryanarayan ,  Mu Qiao

    IPC分类号： H04N5/225

    CPC分类号： G06K9/6267 ,  G06K9/00624 ,  G06K9/46 ,  G06K9/4652 ,  G06K9/4671 ,  G06K9/6228 ,  H04N5/23222

    摘要： A comprehensive system to enhance the aesthetic quality of the photographs captured by mobile consumers provides on-site composition and aesthetics feedback through retrieved examples. Composition feedback is qualitative in nature and responds by retrieving highly aesthetic exemplar images from the corpus which are similar in content and composition to the snapshot. Color combination feedback provides confidence on the snapshot to contain good color combinations. Overall aesthetics feedback predicts the aesthetic ratings for both color and monochromatic images. An algorithm is used to provide ratings for color images, while new features and a new model are developed to treat monochromatic images. This system was designed keeping the next generation photography needs in mind and is the first of its kind. The feedback rendered is guiding and intuitive in nature. It is computed in situ while requiring minimal input from the user.

    摘要翻译： 提高移动消费者拍摄的照片的美学质量的全面系统通过检索的例子提供现场构图和美学反馈。 组合反馈本质上是定性的，并通过从语料库中检索与内容和构图相似的快照的高度审美的示例图像来进行响应。 颜色组合反馈提供了对快照的信心，以包含良好的颜色组合。 整体美学反馈预测了彩色和单色图像的审美等级。 一种算法用于提供彩色图像的等级，同时开发新特征和新模型来处理单色图像。 该系统的设计保持了下一代摄影的需要，是同类产品中的第一个。 呈现的反馈本质上是指导和直观的。 它是原地计算的，同时需要用户的最小输入。

    System and method for exploiting segment co-occurrence relationships to identify object location in images
    4.
    发明授权
    System and method for exploiting segment co-occurrence relationships to identify object location in images 有权
    利用片段同现关系识别图像中对象位置的系统和方法

    公开(公告)号：US08768048B1

    公开(公告)日：2014-07-01

    申请号：US13299789

    申请日：2011-11-18

    申请人： Vivek Kwatra ,  Jay Yagnik ,  Alexander T. Toshev ,  Poonam Suryanarayan

    发明人： Vivek Kwatra ,  Jay Yagnik ,  Alexander T. Toshev ,  Poonam Suryanarayan

    IPC分类号： G06K9/62

    CPC分类号： G06K9/6202 ,  G06K9/72

    摘要： A computing device segments an image into a plurality of segments, wherein each segment of the plurality of segments comprises a set of pixels that share visual characteristics. The computing device then determines expected contexts for the segments, wherein an expected context for a segment comprises at least one of additional segments or features expected to occur in the image together with the segment. The computing device then identifies a probable object based on the expected contexts.

    摘要翻译： 计算设备将图像分割成多个段，其中多个段中的每个段包括共享视觉特征的一组像素。 计算设备然后确定段的预期上下文，其中段的预期上下文包括期望与该段一起出现在图像中的附加段或特征中的至少一个。 然后，计算设备基于预期上下文识别可能的对象。

    METHOD TO ASSESS AESTHETIC QUALITY OF PHOTOGRAPHS
    5.
    发明申请
    METHOD TO ASSESS AESTHETIC QUALITY OF PHOTOGRAPHS 失效
    评估摄影美学质量的方法

    公开(公告)号：US20130188866A1

    公开(公告)日：2013-07-25

    申请号：US13356846

    申请日：2012-01-24

    申请人： Pere OBRADOR ,  Michele SAAD ,  Poonam SURYANARAYAN ,  Nuria OLIVER

    发明人： Pere OBRADOR ,  Michele SAAD ,  Poonam SURYANARAYAN ,  Nuria OLIVER

    IPC分类号： G06K9/46

    CPC分类号： G06T7/0002 ,  G06K9/00664 ,  G06T2207/30168

    摘要： A method to assess aesthetic quality of photographs, including classifying photographs into categories; generating computational models of image aesthetics, each computational model of image aesthetics associated to one different category of the categories; extracting a plurality of features from a photograph, the plurality of features being simplicity features, global features computed in the whole image and/or low-level features in contrasting regions of an image of said photograph. The contrasting regions are partitions of the image obtained by applying an image segmentation algorithm based on feature contrast to the photograph. The method also including applying a computational model of image aesthetics to at least part of the plurality of features extracted from said photograph, the computational model applied according to the category of the photograph, in order to assess aesthetic quality of the photograph.

    摘要翻译： 评估照片美学质量的方法，包括将照片分类; 生成图像美学的计算模型，每个图像美学的计算模型与一个不同类别的类别相关联; 从照片提取多个特征，所述多个特征是简单特征，在整个图像中计算的全局特征和/或所述照片的图像的对比区域中的低级特征。 对比区域是通过基于与照片的特征对比度应用图像分割算法获得的图像的分区。 该方法还包括将图像美观的计算模型应用于从所述照片提取的多个特征的至少一部分，根据照片的类别应用的计算模型，以评估照片的美学质量。