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公开(公告)号：US08553045B2
公开(公告)日：2013-10-08
申请号：US12890049
申请日：2010-09-24
IPC分类号： G09G5/02
CPC分类号： G09G5/06 , G06N7/005 , G09G2320/0606 , G09G2320/0666
摘要： A method for color transfer includes retrieving a concept color palette from computer memory corresponding to a concept selected by a user. The concept color palette includes a first set of colors, which may be statistically representative of colors of a set of predefined color palettes which have been associated with the concept. The method further includes computing an image color palette for an input image. The image color palette includes a second set of colors that are representative of pixels of the input image. Colors of the image color palette are mapped to colors of the concept color palette to identify, for colors of the image color palette, a corresponding color in the concept color palette. A transformation is computed based on the mapping. For pixels of the input image, modified color values are computed, based on the computed transformation, to generate a modified image.
摘要翻译： 用于颜色传送的方法包括从与用户选择的概念对应的计算机存储器检索概念调色板。 概念调色板包括第一组颜色，其可以统计代表已经与该概念相关联的一组预定义调色板的颜色。 该方法还包括计算用于输入图像的图像调色板。 图像调色板包括代表输入图像的像素的第二组颜色。 图像调色板的颜色被映射到概念调色板的颜色，以针对图像调色板的颜色识别概念调色板中的对应颜色。 基于映射计算变换。 对于输入图像的像素，基于所计算的变换来计算修改的颜色值以生成修改的图像。
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公开(公告)号：US20120075329A1
公开(公告)日：2012-03-29
申请号：US12890049
申请日：2010-09-24
IPC分类号： G09G5/02
CPC分类号： G09G5/06 , G06N7/005 , G09G2320/0606 , G09G2320/0666
摘要： A system and method for color transfer are provided. The method includes retrieving a concept color palette from computer memory corresponding to a concept selected by a user. The concept color palette includes a first set of colors, which may be statistically representative of colors of a set of predefined color palettes which have been associated with the concept. The method further includes computing an image color palette for an input image. The image color palette includes a second set of colors that are representative of pixels of the input image. Colors of the image color palette are mapped to colors of the concept color palette to identify, for colors of the image color palette, a corresponding color in the concept color palette. A transformation is computed based on the mapping. For pixels of the input image, modified color values are computed, based on the computed transformation, to generate a modified image.
摘要翻译： 提供了一种用于颜色转移的系统和方法。 该方法包括从与用户选择的概念对应的计算机存储器检索概念调色板。 概念调色板包括第一组颜色，其可以统计代表已经与该概念相关联的一组预定义调色板的颜色。 该方法还包括计算用于输入图像的图像调色板。 图像调色板包括代表输入图像的像素的第二组颜色。 图像调色板的颜色被映射到概念调色板的颜色，以针对图像调色板的颜色识别概念调色板中的对应颜色。 基于映射计算变换。 对于输入图像的像素，基于所计算的变换来计算修改的颜色值以生成修改的图像。
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公开(公告)号：US08379974B2
公开(公告)日：2013-02-19
申请号：US12975753
申请日：2010-12-22
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。
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公开(公告)号：US20120163715A1
公开(公告)日：2012-06-28
申请号：US12975753
申请日：2010-12-22
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。
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公开(公告)号：US08532377B2
公开(公告)日：2013-09-10
申请号：US12975712
申请日：2010-12-22
申请人： Sandra Skaff , Luca Marchesotti , Gabriela Csurka
发明人： Sandra Skaff , Luca Marchesotti , Gabriela Csurka
IPC分类号： G06K9/00
CPC分类号： G06F17/3025 , G06K9/6226 , G06N7/005
摘要： A system and method for ranking images are provided. The method includes receiving a query comprising a semantic part and an abstract part, retrieving a set of images responsive to the semantic part of the query, and computing first scores for the retrieved images in the set of retrieved images. The first score of an image can be based on a relevance of that image to the semantic part of the query (and not to the abstract part of the query). The method further includes identifying a chromatic concept model from a set of chromatic concept models. This identification can be based on the abstract part of the query (and not on the semantic part of the query). The chromatic concept model includes an optionally-weighted set of colors expressed in a perceptually uniform color space. For retrieved images in the set of retrieved images, the method includes computing a chromatic image model based on colors of the image, the chromatic image model comprising a weighted set of colors expressed in the perceptually uniform color space and computing a comparison measure between the chromatic image model and the chromatic concept model. The retrieved images are scored with respective second scores that are based on the computed comparison measures. The retrieved images are ranked based on a combined score for a respective retrieved image which is a function of the first and second scores.
摘要翻译： 提供了一种用于对图像进行排序的系统和方法。 该方法包括接收包括语义部分和抽象部分的查询，响应于查询的语义部分检索一组图像，以及计算检索图像集中检索到的图像的第一分数。 图像的第一个分数可以基于该图像与查询的语义部分的相关性（而不是查询的抽象部分）。 该方法还包括从一组色彩概念模型中识别色彩概念模型。 该标识可以基于查询的抽象部分（而不是查询的语义部分）。 色彩概念模型包括以感知统一的颜色空间表示的可选加权的颜色集合。 对于所检索的图像集合中的检索图像，该方法包括基于图像的颜色来计算彩色图像模型，该彩色图像模型包括在感知统一的颜色空间中表示的加权的一组颜色，并且计算色度 图像模型和色彩概念模型。 所检索的图像用基于所计算的比较测量的相应的第二分数进行评分。 所检索的图像基于作为第一和第二分数的函数的相应检索图像的组合分数来排序。
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6.发明授权Occupancy detection for managed lane enforcement based on localization and classification of windshield images 有权基于挡风玻璃图像的本地化和分类的管理车道执行的占用检测公开(公告)号：US08824742B2
公开(公告)日：2014-09-02
申请号：US13527228
申请日：2012-06-19
申请人： Sandra Skaff , Beilei Xu , Peter Paul , Craig Saunders , Florent Perronnin
发明人： Sandra Skaff , Beilei Xu , Peter Paul , Craig Saunders , Florent Perronnin
CPC分类号： G06K9/00785 , G06K9/00832 , G06N99/005
摘要： A system for detecting a vehicle occupancy violation includes an image capture module that acquires an image including a vehicle cabin from a camera positioned to view oncoming traffic. The system includes a violation determination device, which includes a feature extraction module that processes the image pixels for determining an image descriptor. The process is selected from a group consisting of a Successive Mean Quantization Transform; a Scale-Invariant Feature Transform; a Histogram of Gradients; a Bag-of-Visual-Words Representation; a Fisher Vector Representation; and, a combination of the above. The system further includes a classifier that determines a distance that the vehicle image descriptor/representation is positioned in the projected feature space relative to a hyper-plane. The classifier determines whether the distance meets a threshold and classifies the image when the threshold is met. A processor implements the modules. A graphic user interface outputs the classification.
摘要翻译： 用于检测车辆占用违规的系统包括图像捕获模块，其从定位成查看迎面而来的交通的相机获取包括车厢的图像。 该系统包括违规判定装置，其包括处理用于确定图像描述符的图像像素的特征提取模块。 该过程选自连续平均量化变换; 尺度不变特征变换; 梯度直方图; 一个视觉词汇表示; Fisher矢量表示法 以及上述的组合。 该系统还包括分类器，其确定车辆图像描述符/表示相对于超平面位于投影特征空间中的距离。 分类器确定距离是否满足阈值，并在满足阈值时对图像进行分类。 处理器实现模块。 图形用户界面输出分类。
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7.发明申请Occupancy detection for managed lane enforcement based on localization and classification of windshield images 有权基于挡风玻璃图像的本地化和分类的管理车道执行的占用检测公开(公告)号：US20130336538A1
公开(公告)日：2013-12-19
申请号：US13527228
申请日：2012-06-19
申请人： Sandra Skaff , Beilei Xu , Peter Paul , Craig Saunders , Florent Perronnin
发明人： Sandra Skaff , Beilei Xu , Peter Paul , Craig Saunders , Florent Perronnin
IPC分类号： G06K9/62
CPC分类号： G06K9/00785 , G06K9/00832 , G06N99/005
摘要： A system for detecting a vehicle occupancy violation includes an image capture module that acquires an image including a vehicle cabin from a camera positioned to view oncoming traffic. The system includes a violation determination device, which includes a feature extraction module that processes the image pixels for determining an image descriptor. The process is selected from a group consisting of a Successive Mean Quantization Transform; a Scale-Invariant Feature Transform; a Histogram of Gradients; a Bag-of-Visual-Words Representation; a Fisher Vector Representation; and, a combination of the above. The system further includes a classifier that determines a distance that the vehicle image descriptor/representation is positioned in the projected feature space relative to a hyper-plane. The classifier determines whether the distance meets a threshold and classifies the image when the threshold is met. A processor implements the modules. A graphic user interface outputs the classification.
摘要翻译： 用于检测车辆占用违规的系统包括图像捕获模块，其从定位成查看迎面而来的交通的相机获取包括车厢的图像。 该系统包括违规判定装置，其包括处理用于确定图像描述符的图像像素的特征提取模块。 该过程选自连续平均量化变换; 尺度不变特征变换; 梯度直方图; 一个视觉词汇表示; Fisher矢量表示法 以及上述的组合。 该系统还包括分类器，其确定车辆图像描述符/表示相对于超平面位于投影特征空间中的距离。 分类器确定距离是否满足阈值，并在满足阈值时对图像进行分类。 处理器实现模块。 图形用户界面输出分类。
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公开(公告)号：US08775424B2
公开(公告)日：2014-07-08
申请号：US12693795
申请日：2010-01-26
申请人： Sandra Skaff , Luca Marchesotti , Tommaso Colombino , Ana Fucs , Gabriela Csurka , Yanal Wazaefi , Marco Bressan
发明人： Sandra Skaff , Luca Marchesotti , Tommaso Colombino , Ana Fucs , Gabriela Csurka , Yanal Wazaefi , Marco Bressan
IPC分类号： G06F17/30
CPC分类号： G06F17/30265 , G06F17/30274 , G06K9/00664 , G06N99/005
摘要： A system and method for assisting a user in navigation of an image dataset are disclosed. The method includes receiving a user's text query, retrieving images responsive to the query from an image dataset, providing for receiving the user's selection of a first feature selected from a set of available first features via a graphical user interface, providing for receiving the user's selection of a second feature selected from a set of available second features different from the first features via the graphical user interface, and displaying at least some of the retrieved images on the graphical user interface. The displayed images are arranged, e.g., grouped, according to levels and/or combinations of levels of the user-selected first and second features.
摘要翻译： 公开了一种用于辅助用户导航图像数据集的系统和方法。 该方法包括接收用户的文本查询，响应于来自图像数据集的查询检索图像，提供经由图形用户界面接收用户对从一组可用的第一特征中选出的第一特征的选择，提供接收用户的选择 通过图形用户界面从不同于第一特征的一组可用的第二特征选择的第二特征，以及在图形用户界面上显示至少一些所检索的图像。 显示的图像根据用户选择的第一和第二特征的等级和/或组合的级别和/或组合来排列，例如分组。
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9.发明授权公开(公告)号：US08810658B2
公开(公告)日：2014-08-19
申请号：US13364835
申请日：2012-02-02
申请人： Sandra Skaff , Raja Bala , Lalit Keshav Mestha , Beilei Xu
发明人： Sandra Skaff , Raja Bala , Lalit Keshav Mestha , Beilei Xu
IPC分类号： H04N5/33
摘要： What is disclosed is a system and method for estimating color for pixels in an infrared image. In one embodiment, an infrared image is received which has been captured using a N-band infrared imaging system comprising a multi-spectral camera or a hyperspectral camera. The IR image is composed of an array of pixels with N intensity values having been collected for each pixel in the image. Then, for each pixel of interest, a search metric is used to search a database of vector samples to identify a visible-IR set which is closest to the intensity values of the IR band vector collected for the pixel. A visible vector representation is then estimated for the pixel based upon the visible portion corresponding to the closest visible-IR set. Thereafter, color coordinates for this pixel are computed from the visible vector. The method repeats for all pixels of interest in the IR image.
摘要翻译： 公开的是用于估计红外图像中的像素的颜色的系统和方法。 在一个实施例中，接收使用包括多光谱相机或高光谱相机的N波段红外成像系统捕获的红外图像。 IR图像由对图像中的每个像素收集的具有N个强度值的像素阵列组成。 然后，对于感兴趣的每个像素，使用搜索度量来搜索向量样本的数据库，以识别最接近为该像素收集的IR带矢量的强度值的可见IR集合。 然后基于对应于最接近的可见IR集的可见部分，针对像素估计可见矢量表示。 此后，从可见矢量计算该像素的颜色坐标。 该方法针对IR图像中所有感兴趣的像素重复。
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