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1.发明授权Computer-implemented method for object creation by partitioning of a temporal graph 有权计算机实现的通过分割时间图的对象创建的方法公开(公告)号：US07920720B2
公开(公告)日：2011-04-05
申请号：US11821636
申请日：2007-06-25
CPC分类号： G06T7/246 , G06T2207/10016 , G06T2207/20072 , G06T2207/30241
摘要： One embodiment relates to a computer-implemented method for the automated extraction of objects from a video stream. The method includes an automated procedure for creating a temporal graph, and an automated procedure for cutting the graph into graph partitions. The method further includes an automated procedure for mapping the graph partitions to pixels in frames of the video stream. Other features, aspects and embodiments are also disclosed.
摘要翻译： 一个实施例涉及用于从视频流自动提取对象的计算机实现的方法。 该方法包括用于创建时间图的自动化过程，以及用于将图形切割成图形分区的自动化过程。 该方法还包括用于将图形分区映射到视频流的帧中的像素的自动化过程。 还公开了其它特征，方面和实施例。
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2.发明申请Automated method and apparatus for robust image object recognition and/or classification using multiple temporal views 审中-公开用于使用多个时间视图的鲁棒图像对象识别和/或分类的自动方法和装置公开(公告)号：US20080112593A1
公开(公告)日：2008-05-15
申请号：US11981244
申请日：2007-10-30
IPC分类号： G06K9/00
CPC分类号： G06K9/469 , G06K9/6292 , G06K2009/3291
摘要： An automated method for classifying an object in a sequence of video frames. The object is tracked in multiple frames of the sequence of video frame, and feature descriptors are determined for the object for each of the multiple frames. Multiple classification scores are computed by matching said feature descriptors for the object for each of the multiple frames with feature descriptors for a candidate class in a classification database. Said multiple classification scores are aggregated to generate an estimated probability that the object is a member of the candidate class. Other embodiments, aspects and features are also disclosed.
摘要翻译： 一种用于对视频帧序列中的对象进行分类的自动化方法。 该对象在视频帧序列的多个帧中被跟踪，并且针对该多个帧中的每个帧的对象确定特征描述符。 通过将用于多个帧中的每一个的对象的所述特征描述符与分类数据库中的候选类的特征描述符进行匹配来计算多个分类分数。 所述多个分类分数被聚合以产生对象是候选类的成员的估计概率。 还公开了其它实施例，方面和特征。
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3.发明授权Computer-implemented method for efficient image segmentation using automated saddle-point detection 有权使用自动鞍点检测的计算机实现的高效图像分割方法公开(公告)号：US07848571B2
公开(公告)日：2010-12-07
申请号：US11821639
申请日：2007-06-25
IPC分类号： G06K9/34
CPC分类号： G06K9/4638 , G06T7/12 , G06T7/155 , G06T7/181 , G06T2207/20041
摘要： One embodiment relates to a computer-implemented method of image segmentation using automated saddle point detection. An edge map is created by edge detection, and a distance map is generated based on the edge map. Saddle points are detected using the distance map. Connector pixels are determined using the saddle points, and connector pixels forming valid connecting paths are marked as edge pixels. Finally, flood filling is performed within edges to designate image segments. Other features, aspects and embodiments are also disclosed.
摘要翻译： 一个实施例涉及使用自动鞍点检测的计算机实现的图像分割方法。 通过边缘检测创建边缘图，并且基于边缘图生成距离图。 使用距离图检测鞍点。 使用鞍点确定连接器像素，并且形成有效连接路径的连接器像素被标记为边缘像素。 最后，在边缘内进行灌水以指定图像段。 还公开了其它特征，方面和实施例。
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4.发明申请Computer-implemented method for object creation by partitioning of a temporal graph 有权计算机实现的通过分割时间图的对象创建的方法公开(公告)号：US20080123957A1
公开(公告)日：2008-05-29
申请号：US11821636
申请日：2007-06-25
CPC分类号： G06T7/246 , G06T2207/10016 , G06T2207/20072 , G06T2207/30241
摘要： One embodiment relates to a computer-implemented method for the automated extraction of objects from a video stream. The method includes an automated procedure for creating a temporal graph, and an automated procedure for cutting the graph into graph partitions. The method further includes an automated procedure for mapping the graph partitions to pixels in frames of the video stream. Other features, aspects and embodiments are also disclosed.
摘要翻译： 一个实施例涉及用于从视频流自动提取对象的计算机实现的方法。 该方法包括用于创建时间图的自动化过程，以及用于将图形切割成图形分区的自动化过程。 该方法还包括用于将图形分区映射到视频流的帧中的像素的自动化过程。 还公开了其它特征，方面和实施例。
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公开(公告)号：US08264544B1
公开(公告)日：2012-09-11
申请号：US11982858
申请日：2007-11-05
IPC分类号： H04N5/225
CPC分类号： H04N5/272
摘要： A method for automated content insertion into a video sequence. The video sequence comprising a sequence of frames is received. An automated determination is made of non-moving pixels in the sequence of frames. Thereafter, an automated identification is made of valid regions comprising the non-moving pixels which are suitable for unobtrusive content insertion. Other embodiments, aspects and features are also disclosed.
摘要翻译： 一种自动内容插入视频序列的方法。 接收包括一系列帧的视频序列。 自动确定帧序列中的不移动像素。 此后，自动识别包括适合于不引人注意的内容插入的非移动像素的有效区域。 还公开了其它实施例，方面和特征。
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6.发明授权Automated method and apparatus for estimating motion of an image segment using motion vectors from overlapping macroblocks 有权用于使用来自重叠宏块的运动矢量估计图像片段的运动的自动方法和装置公开(公告)号：US08085849B1
公开(公告)日：2011-12-27
申请号：US11981455
申请日：2007-10-30
IPC分类号： H04N7/28
CPC分类号： H04N19/543 , G06T7/11 , G06T7/155 , G06T7/246 , G06T2207/20021 , G06T2207/20041 , G06T2207/20152 , H04N19/521
摘要： One embodiment relates to an automated method for estimating motion of an image segment. An image frame is segmented into irregularly-shaped image segments. Motion vectors of blocks of pixels in the image frame are estimated. A determination is made as to the blocks which overlap a segment, and candidate motion vectors are determined from the motion vectors for those overlapping blocks. A motion vector for the segment is selected from amongst the candidate motion vectors. Other embodiments, aspects, and features are also disclosed.
摘要翻译： 一个实施例涉及用于估计图像段的运动的自动化方法。 图像帧被分割成不规则形状的图像片段。 估计图像帧中的像素块的运动矢量。 确定与片段重叠的块，并且根据这些重叠块的运动矢量来确定候选运动矢量。 从候选运动矢量中选择该段的运动矢量。 还公开了其它实施例，方面和特征。
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7.发明申请Computer-implemented method for efficient image segmentation using automated saddle-point detection 有权使用自动鞍点检测的计算机实现的高效图像分割方法公开(公告)号：US20080123958A1
公开(公告)日：2008-05-29
申请号：US11821639
申请日：2007-06-25
IPC分类号： G06K9/34
CPC分类号： G06K9/4638 , G06T7/12 , G06T7/155 , G06T7/181 , G06T2207/20041
摘要： One embodiment relates to a computer-implemented method of image segmentation using automated saddle point detection. An edge map is created by edge detection, and a distance map is generated based on the edge map. Saddle points are detected using the distance map. Connector pixels are determined using the saddle points, and connector pixels forming valid connecting paths are marked as edge pixels. Finally, flood filling is performed within edges to designate image segments. Other features, aspects and embodiments are also disclosed.
摘要翻译： 一个实施例涉及使用自动鞍点检测的计算机实现的图像分割方法。 通过边缘检测创建边缘图，并且基于边缘图生成距离图。 使用距离图检测鞍点。 使用鞍点确定连接器像素，并且形成有效连接路径的连接器像素被标记为边缘像素。 最后，在边缘内进行灌水以指定图像段。 还公开了其它特征，方面和实施例。
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8.发明申请Computer-implemented method for automated object recognition and classification in scenes using segment-based object extraction 审中-公开用于使用基于段的对象提取的场景中的自动对象识别和分类的计算机实现的方法公开(公告)号：US20080123959A1
公开(公告)日：2008-05-29
申请号：US11821767
申请日：2007-06-25
IPC分类号： G06K9/34
摘要： One embodiment relates to a computer-implemented method for automated object recognition and classification in scenes using segment-based object extraction. The method includes automated procedures for receiving video images, creating segmentation maps from said images, grouping segments so as to form extracted objects, extracting features from said extracted objects, classifying said extracted objects using said features. Other features, aspects and embodiments are also disclosed.
摘要翻译： 一个实施例涉及一种用于使用基于段的对象提取的场景中的自动对象识别和分类的计算机实现的方法。 该方法包括用于接收视频图像的自动化过程，从所述图像创建分割图像，分组分段以形成提取的对象，从所提取的对象中提取特征，使用所述特征对所提取的对象进行分类。 还公开了其它特征，方面和实施例。
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