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公开(公告)号：US08897560B2
公开(公告)日：2014-11-25
申请号：US13624986
申请日：2012-09-24
CPC分类号： G06K9/00664
摘要： A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by analyzing the input digital image to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. A set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. The estimated clutter is determined responsive to the inequality index and the scene content features.
摘要翻译： 一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。 通过分析输入数字图像来确定一组图像特征来确定不等式指数。 图像特征与一组指定的参考特征相关联，并且基于参考特征的统计变化来确定不等式指数。 通过分析输入数字图像来确定与输入数字图像的空间结构或语义内容相关的一组场景内容特征。 响应于不等式指数和场景内容特征确定估计的杂波。
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公开(公告)号：US08731291B2
公开(公告)日：2014-05-20
申请号：US13624985
申请日：2012-09-24
IPC分类号： G06K9/00
CPC分类号： G06K9/00664
摘要： A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by partitioning the input digital image into small sub-images and analyzing the sub-images to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. The inequality index is compared to a predefined threshold to classify the input digital image as a rich-content image or a low-content image. For rich-content images, the estimated clutter level is determined responsive to a set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. For low-content images, the estimated clutter level is determined responsive to an overall luminance level.
摘要翻译： 一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。 通过将输入的数字图像分割成小的子图像并分析子图像来确定一组图像特征来确定不等式索引。 图像特征与一组指定的参考特征相关联，并且基于参考特征的统计变化来确定不等式指数。 将不等式指数与预定阈值进行比较，以将输入数字图像分类为富内容图像或低内容图像。 对于富含内容的图像，响应于与输入数字图像的空间结构或语义内容相关的一组场景内容特征来确定估计的杂波水平，通过分析输入的数字图像来确定。 对于低内容图像，估计的杂波电平是根据整体亮度水平确定的。
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公开(公告)号：US20140086495A1
公开(公告)日：2014-03-27
申请号：US13624986
申请日：2012-09-24
IPC分类号： G06K9/68
CPC分类号： G06K9/00664
摘要： A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by analyzing the input digital image to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. A set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. The estimated clutter is determined responsive to the inequality index and the scene content features.
摘要翻译： 一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。 通过分析输入数字图像来确定一组图像特征来确定不等式指数。 图像特征与一组指定的参考特征相关联，并且基于参考特征的统计变化来确定不等式指数。 通过分析输入数字图像来确定与输入数字图像的空间结构或语义内容相关的一组场景内容特征。 响应于不等式指数和场景内容特征确定估计的杂波。
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公开(公告)号：US20140086487A1
公开(公告)日：2014-03-27
申请号：US13624985
申请日：2012-09-24
IPC分类号： G06K9/62
CPC分类号： G06K9/00664
摘要： A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by partitioning the input digital image into small sub-images and analyzing the sub-images to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. The inequality index is compared to a predefined threshold to classify the input digital image as a rich-content image or a low-content image. For rich-content images, the estimated clutter level is determined responsive to a set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. For low-content images, the estimated clutter level is determined responsive to an overall luminance level.
摘要翻译： 一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。 通过将输入的数字图像分割成小的子图像并分析子图像来确定一组图像特征来确定不等式索引。 图像特征与一组指定的参考特征相关联，并且基于参考特征的统计变化来确定不等式指数。 将不等式指数与预定阈值进行比较，以将输入数字图像分类为富内容图像或低内容图像。 对于富含内容的图像，响应于与输入数字图像的空间结构或语义内容相关的一组场景内容特征来确定估计的杂波水平，通过分析输入的数字图像来确定。 对于低内容图像，估计的杂波电平是根据整体亮度水平确定的。
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公开(公告)号：US20140085507A1
公开(公告)日：2014-03-27
申请号：US13623934
申请日：2012-09-21
申请人： Bruce Harold Pillman , Wei Hao
发明人： Bruce Harold Pillman , Wei Hao
CPC分类号： G06T7/0002 , G06K9/036 , G06T5/004 , G06T2207/10024 , G06T2207/20032 , G06T2207/20212 , G06T2207/30168 , H04N5/23222 , H04N5/23232 , H04N5/2356 , H04N5/243
摘要： A method for selecting a digital image having controlled sharpness characteristics from a set of candidate digital images of a common scene, each digital image having different sharpness characteristics. An image segmentation process is used to segment each of the candidate digital images into a subject region and a background region. For each candidate digital image the subject and background regions are analyzed to determine an associated subject and background sharpness levels. An output digital image is selected by comparing the determined subject and background sharpness levels to respective aim subject and background sharpness levels. In some embodiments, the aim subject and background sharpness levels are defined in accordance with a scene type classification.
摘要翻译： 一种从公共场景的候选数字图像的集合中选择具有可控锐度特性的数字图像的方法，每个数字图像具有不同的锐度特性。 使用图像分割处理将每个候选数字图像分割成主题区域和背景区域。 对于每个候选数字图像，分析主题和背景区域以确定相关联的对象和背景清晰度水平。 通过将确定的对象和背景清晰度水平与相应的目标对象和背景清晰度水平进行比较来选择输出数字图像。 在一些实施例中，根据场景类型分类来定义目标对象和背景清晰度水平。
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公开(公告)号：US08928772B2
公开(公告)日：2015-01-06
申请号：US13623934
申请日：2012-09-21
申请人： Bruce Harold Pillman , Wei Hao
发明人： Bruce Harold Pillman , Wei Hao
IPC分类号： H04N5/228
CPC分类号： G06T7/0002 , G06K9/036 , G06T5/004 , G06T2207/10024 , G06T2207/20032 , G06T2207/20212 , G06T2207/30168 , H04N5/23222 , H04N5/23232 , H04N5/2356 , H04N5/243
摘要： A method for selecting a digital image having controlled sharpness characteristics from a set of candidate digital images of a common scene, each digital image having different sharpness characteristics. An image segmentation process is used to segment each of the candidate digital images into a subject region and a background region. For each candidate digital image the subject and background regions are analyzed to determine an associated subject and background sharpness levels. An output digital image is selected by comparing the determined subject and background sharpness levels to respective aim subject and background sharpness levels. In some embodiments, the aim subject and background sharpness levels are defined in accordance with a scene type classification.
摘要翻译： 一种从公共场景的候选数字图像的集合中选择具有可控锐度特性的数字图像的方法，每个数字图像具有不同的锐度特性。 使用图像分割处理将每个候选数字图像分割成主题区域和背景区域。 对于每个候选数字图像，分析主题和背景区域以确定相关联的对象和背景清晰度水平。 通过将确定的对象和背景清晰度水平与相应的目标对象和背景清晰度水平进行比较来选择输出数字图像。 在一些实施例中，根据场景类型分类来定义目标对象和背景清晰度水平。
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公开(公告)号：US08724919B2
公开(公告)日：2014-05-13
申请号：US13623927
申请日：2012-09-21
申请人： Bruce Harold Pillman , Wei Hao
发明人： Bruce Harold Pillman , Wei Hao
IPC分类号： G06K9/40
CPC分类号： G06T5/003 , G06T7/194 , G06T2207/20012
摘要： The sharpness of a digital image is adjusted according to defined aim subject and background sharpness levels. An image segmentation process is used to segment an input digital image into a subject region and a background region. The subject and background regions are analyzed to determine corresponding subject and background sharpness levels. An enhanced digital image is formed wherein the sharpness of the subject region is adjusted responsive to the subject sharpness level and the aim subject sharpness level, and the sharpness of the background region is adjusted responsive to the background sharpness level and the aim background sharpness level. In some embodiments, the input digital image is analyzed to determined a scene type classification and the aim subject and background sharpness levels are defined in accordance with the determined scene type classification.
摘要翻译： 根据定义的目标对象和背景清晰度水平来调整数字图像的清晰度。 使用图像分割处理将输入数字图像分割成对象区域和背景区域。 分析主题和背景区域以确定相应的对象和背景清晰度水平。 形成增强的数字图像，其中响应于被摄体清晰度水平和目标对象清晰度水平来调节对象区域的锐度，并且响应于背景清晰度水平和目标背景清晰度水平来调整背景区域的清晰度。 在一些实施例中，分析输入数字图像以确定场景类型分类，并且根据确定的场景类型分类来定义目标对象和背景清晰度水平。
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公开(公告)号：US20100111428A1
公开(公告)日：2010-05-06
申请号：US12264277
申请日：2008-11-04
申请人： Jie Yu , Dhiraj Joshi , Jiebo Luo , Wei Hao
发明人： Jie Yu , Dhiraj Joshi , Jiebo Luo , Wei Hao
IPC分类号： G06K9/62
CPC分类号： G06K9/0063 , G06F17/30265 , G06K9/00664 , G06K9/4671
摘要： A method of recognizing an event depicted in an image from the image and a location information associated with the image is disclosed. The method includes acquiring the image and its associated location information; using the location information to acquire an aerial image(s) correlated to the location information; identifying the event using both the image and the acquired aerial image(s); and storing the event in association with the image for subsequent use.
摘要翻译： 公开了一种从图像识别图像中描绘的事件和与图像相关联的位置信息的方法。 该方法包括获取图像及其相关联的位置信息; 使用所述位置信息来获取与所述位置信息相关的空中图像; 使用图像和所获取的空间图像识别事件; 并将事件与图像相关联地存储以供后续使用。
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公开(公告)号：US20090190797A1
公开(公告)日：2009-07-30
申请号：US12022361
申请日：2008-01-30
申请人： Dale F. McIntyre , Jiebo Luo , Wei Hao
发明人： Dale F. McIntyre , Jiebo Luo , Wei Hao
IPC分类号： G06K9/00
CPC分类号： G06K9/00664 , G06F17/30247 , G06K9/0063 , G06K9/4671
摘要： A method of recognizing the environment of an image from an image and position information associated with the image includes acquiring the image and its associated position information; using the position information to acquire an aerial image correlated to the position information; identifying the environment of the image from the acquired aerial image; and storing the environment of the image in association with the image for subsequent use.
摘要翻译： 从图像识别图像的环境和与图像相关联的位置信息的方法包括获取图像及其相关联的位置信息; 使用所述位置信息来获取与所述位置信息相关的空中图像; 从所获取的航空图像识别图像的环境; 并且将图像的环境与图像相关联地存储以供后续使用。
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公开(公告)号：US20140086486A1
公开(公告)日：2014-03-27
申请号：US13623927
申请日：2012-09-21
申请人： Bruce Harold Pillman , Wei Hao
发明人： Bruce Harold Pillman , Wei Hao
IPC分类号： G06K9/34
CPC分类号： G06T5/003 , G06T7/194 , G06T2207/20012
摘要： The sharpness of a digital image is adjusted according to defined aim subject and background sharpness levels. An image segmentation process is used to segment an input digital image into a subject region and a background region. The subject and background regions are analyzed to determine corresponding subject and background sharpness levels. An enhanced digital image is formed wherein the sharpness of the subject region is adjusted responsive to the subject sharpness level and the aim subject sharpness level, and the sharpness of the background region is adjusted responsive to the background sharpness level and the aim background sharpness level. In some embodiments, the input digital image is analyzed to determined a scene type classification and the aim subject and background sharpness levels are defined in accordance with the determined scene type classification.
摘要翻译： 根据定义的目标对象和背景清晰度水平来调整数字图像的清晰度。 使用图像分割处理将输入数字图像分割成对象区域和背景区域。 分析主题和背景区域以确定相应的对象和背景清晰度水平。 形成增强的数字图像，其中响应于被摄体清晰度水平和目标对象清晰度水平来调节对象区域的锐度，并且响应于背景清晰度水平和目标背景清晰度水平来调整背景区域的清晰度。 在一些实施例中，分析输入数字图像以确定场景类型分类，并且根据确定的场景类型分类来定义目标对象和背景清晰度水平。
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