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1. 发明申请

US20080205771A1 CLASSIFYING COMPLETE AND INCOMPLETE DATE-TIME INFORMATION 有权
标题翻译：分类完整和不完整的日期信息
公开(公告)号：US20080205771A1
公开(公告)日：2008-08-28
申请号：US11679914
申请日：2007-02-28
申请人： Bryan D. Kraus , Alexander C. Loui
发明人： Bryan D. Kraus , Alexander C. Loui
IPC分类号： G06K9/64
CPC分类号： G06F17/30265 , G06F17/30247 , G06F17/3028 , G06K2209/27
摘要： A method for automatically classifying images into a final set of events including receiving a first plurality of images having date-time and a second plurality of images with incomplete date-time information; determining one or more time differences of the first plurality of images based on date-time clustering of the images and classify the first plurality of images into a first set of possible events; analyzing the second plurality of images using scene content and metadata cues and selecting images which correspond to different events in the first set of possible events and combining them into their corresponding possible events to thereby produce a second set of possible events; and using image scene content to verify the second set of possible events and to change the classification of images which correspond to different possible events to thereby provide the final set of events.
摘要翻译：一种用于将图像自动分类为最终事件集的方法，包括接收具有日期时间的第一多个图像和具有不完整的日期时间信息的第二多个图像; 基于所述图像的日期时间聚类确定所述第一多个图像的一个或多个时间差，并将所述第一多个图像分类为第一组可能事件; 使用场景内容和元数据提示来分析第二多个图像，并且选择对应于第一组可能事件中的不同事件的图像，并将它们组合成其相应的可能事件，从而产生第二组可能事件; 并且使用图像场景内容来验证第二组可能的事件并且改变对应于不同可能事件的图像的分类，从而提供最终的事件集合。

2. 发明授权

US07663671B2 Location based image classification with map segmentation 有权
标题翻译：基于位置的图像分类与地图分割
公开(公告)号：US07663671B2
公开(公告)日：2010-02-16
申请号：US11284927
申请日：2005-11-22
申请人： Andrew C. Gallagher , Bryan D. Kraus , Alexander C. Loui
发明人： Andrew C. Gallagher , Bryan D. Kraus , Alexander C. Loui
IPC分类号： H04N5/76 , H04N5/222
CPC分类号： G06F17/30265 , G06K9/00624
摘要： In methods and systems for classifying capture records, such as images. A collection of capture records is provided. Each capture record has metadata defining a map location. This metadata can be earlier determined from a stream of data transmissions, even if there are gaps in transmission. The provided capture records are clustered into groups based on capture locations. A map, inclusive of the capture locations, is segmented into a plurality of regions based on relative positions of the capture locations associated with each group. The regions are associated with the capture records of respective groups.
摘要翻译：在用于分类捕获记录（如图像）的方法和系统中。提供了捕获记录的集合。每个捕获记录具有定义地图位置的元数据。即使在传输中存在差距，也可以从数据传输流中更早地确定该元数据。提供的捕获记录基于捕获位置聚类成组。基于与每个组相关联的捕获位置的相对位置，包括捕获位置的地图被分割成多个区域。这些区域与相应组的捕获记录相关联。

3. 发明授权

US07653249B2 Variance-based event clustering for automatically classifying images 失效
标题翻译：基于方差的事件聚类，用于自动分类图像
公开(公告)号：US07653249B2
公开(公告)日：2010-01-26
申请号：US10997411
申请日：2004-11-17
申请人： Alexander C. Loui , Bryan D. Kraus
发明人： Alexander C. Loui , Bryan D. Kraus
IPC分类号： G06K9/62 , H04N5/76
CPC分类号： G06F17/3025
摘要： In an image classification method, a plurality of grouping values are received. The grouping values each have an associated image. An average of the grouping values is calculated. A variance metric of the grouping values, relative to the average is computed. A grouping threshold is determined from the variance metric. Grouping values beyond the grouping threshold are identified as group boundaries. The images are assigned to a plurality of groups based upon the group boundaries.
摘要翻译：在图像分类方法中，接收多个分组值。分组值各具有相关图像。计算分组值的平均值。计算分组值相对于平均值的方差度量。根据方差度量确定分组阈值。将超过分组阈值的分组值标识为组边界。基于组边界将图像分配给多个组。

4. 发明授权

US07813560B2 Classifying complete and incomplete date-time information 有权
标题翻译：分类完整和不完整的日期时间信息
公开(公告)号：US07813560B2
公开(公告)日：2010-10-12
申请号：US11679914
申请日：2007-02-28
申请人： Bryan D. Kraus , Alexander C. Loui
发明人： Bryan D. Kraus , Alexander C. Loui
IPC分类号： G06K9/64 , G06K9/54
CPC分类号： G06F17/30265 , G06F17/30247 , G06F17/3028 , G06K2209/27
摘要： A method for automatically classifying images into a final set of events including receiving a first plurality of images having date-time and a second plurality of images with incomplete date-time information; determining one or more time differences of the first plurality of images based on date-time clustering of the images and classify the first plurality of images into a first set of possible events; analyzing the second plurality of images using scene content and metadata cues and selecting images which correspond to different events in the first set of possible events and combining them into their corresponding possible events to thereby produce a second set of possible events; and using image scene content to verify the second set of possible events and to change the classification of images which correspond to different possible events to thereby provide the final set of events.
摘要翻译：一种用于将图像自动分类为最终事件集的方法，包括接收具有日期时间的第一多个图像和具有不完整的日期时间信息的第二多个图像; 基于所述图像的日期时间聚类确定所述第一多个图像的一个或多个时间差，并将所述第一多个图像分类为第一组可能事件; 使用场景内容和元数据提示来分析第二多个图像，并且选择对应于第一组可能事件中的不同事件的图像，并将它们组合成其相应的可能事件，从而产生第二组可能事件; 并且使用图像场景内容来验证第二组可能的事件并且改变对应于不同可能事件的图像的分类，从而提供最终的事件集合。

5. 发明授权

US07643686B2 Multi-tiered image clustering by event 有权
标题翻译：按事件进行多层次图像聚类
公开(公告)号：US07643686B2
公开(公告)日：2010-01-05
申请号：US11197243
申请日：2005-08-04
申请人： Bryan D. Kraus , Alexander C. Loui
发明人： Bryan D. Kraus , Alexander C. Loui
IPC分类号： G06K9/62
CPC分类号： G06F17/30265
摘要： In a method for classifying a sequence of records into events based upon feature values, such as time and/or location, associated with each of the records, feature differences between consecutive records are determined. The feature differences are ranked. A sequence of three or more clusters of feature differences is computed. The clusters are arranged in decreasing order of relative likelihood of respective feature differences representing separations between events. The records can be inclusive of images.
摘要翻译：在基于与每个记录相关联的特征值（例如时间和/或位置）将记录序列分类为事件的方法中，确定连续记录之间的特征差异。功能差异排名。计算三个或更多个特征差异簇的序列。这些簇以表示事件之间的分离的各个特征差的相对似然性的递减顺序排列。记录可以包含图像。

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