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公开(公告)号：US07295711B1
公开(公告)日：2007-11-13
申请号：US10692466
申请日：2003-10-23
申请人： Sachin Ahuja , Gavin B. Horn , Michael Fleisher , John S. Chen , Adityo Prakash , Edward R. Ratner
发明人： Sachin Ahuja , Gavin B. Horn , Michael Fleisher , John S. Chen , Adityo Prakash , Edward R. Ratner
IPC分类号： G06K9/62
CPC分类号： G06K9/342 , H04N19/20 , H04N19/537 , H04N19/543
摘要： One embodiment of the invention relates to a method of merging segments to form supersegments in an image. The image consists of a plurality of segments that are constituent portions of the image. At least one candidate segment(s) and at least one neighboring segment(s) for each candidate segment are identified. An error statistic for each pair, consisting of a candidate segment and a corresponding neighboring segment, is computed. A neighboring segment is determined that results in a smallest error statistic for a given candidate segment. A determination is also made as to whether the smallest error statistic is sufficiently small to merit merging of the corresponding pair of segments. The corresponding pair of segments is merged to create one supersegment. The supersegment is a new segment including all pixels formerly contained in one of the two segments that were merged.
摘要翻译： 本发明的一个实施例涉及一种合并片段以在图像中形成超帧的方法。 图像由作为图像的组成部分的多个片段组成。 识别每个候选片段的至少一个候选片段和至少一个相邻片段。 计算由候选片段和对应的相邻片段组成的每对的错误统计量。 确定导致给定候选段的最小误差统计量的相邻段。 还确定最小误差统计量是否足够小以便能够合并相应的一对段。 相应的一对段被合并以创建一个超级段。 超级细分是一个新的片段，包括以前包含在合并的两个片段之一中的所有像素。
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公开(公告)号：US07652721B1
公开(公告)日：2010-01-26
申请号：US12061890
申请日：2008-04-03
申请人： Gary R. Holt , Edward R. Ratner
发明人： Gary R. Holt , Edward R. Ratner
摘要： One embodiment disclosed relates to the use of object motion estimation to interlace a progressive video sequence. One of a plurality of consecutive frames is segmented and motion vectors for each segment are determined though object motion estimation. Interpolated motion vectors are used to construct at least one intermediate frame, and interlaced fields are extracted from the new sequence of frames that includes intermediate frames. An interlaced sequence with smooth, incremental motion is thus constructed from a progressive video sequence.
摘要翻译： 公开的一个实施例涉及使用对象运动估计来交织逐行视频序列。 分割多个连续帧中的一个，并且通过对象运动估计来确定每个段的运动矢量。 内插运动矢量用于构建至少一个中间帧，并且从包括中间帧的新的帧序列中提取隔行扫描场。 因此，从逐行视频序列构建具有平滑的增量运动的隔行扫描序列。
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公开(公告)号：US07639741B1
公开(公告)日：2009-12-29
申请号：US10729834
申请日：2003-12-05
申请人： Gary R. Holt , Edward R. Ratner
发明人： Gary R. Holt , Edward R. Ratner
CPC分类号： G06T5/50 , G06T5/002 , G06T2207/10016 , G06T2207/10024 , G06T2207/20012 , G06T2207/20182 , G06T2207/20216 , H04N5/142 , H04N5/145 , H04N5/205 , H04N19/117 , H04N19/139 , H04N19/17 , H04N19/513 , H04N19/553 , H04N19/80 , H04N19/85
摘要： A method and apparatus for temporally filtering a video sequence using motion compensation in which motion information captures the motion of objects is disclosed. Pixels from a current frame are aligned with matching pixels from previous and/or future frames according to the motion of the surrounding object of arbitrary shape. A weighted average of the corresponding pixels is taken for each pixel in the current frame to produce a filtered version of the current frame. The weights may be adjusted to compensate for similarities between the frames and for blur transitions near object boundaries. A lighting offset may also be used to prevent erroneous lighting shifts during filtering.
摘要翻译： 公开了一种使用运动信息捕获物体的运动的运动补偿来对视频序列进行时间滤波的方法和装置。 根据任意形状的周围对象的运动，来自当前帧的像素与来自先前帧和/或将来帧的匹配像素对准。 针对当前帧中的每个像素获取相应像素的加权平均值，以产生当前帧的滤波版本。 可以调整权重以补偿帧之间的相似性以及对象边界附近的模糊转换。 也可以使用照明偏移来防止滤波期间的错误照明偏移。
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14.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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公开(公告)号：US06985623B2
公开(公告)日：2006-01-10
申请号：US10167244
申请日：2002-06-10
申请人： Adityo Prakash , Eniko Fodor , Edward R. Ratner
发明人： Adityo Prakash , Eniko Fodor , Edward R. Ratner
IPC分类号： G06K9/34
CPC分类号： G11B27/28 , G11B27/034 , H04N5/147
摘要： A process and apparatus for identifying abrupt cuts or scene changes in any ordered sequence of images. In one specific embodiment, two or more consecutive images from a sequence are introduced to a segmenter as digital frames. The segmenter independently divides each of these frames into pixel regions or segments according to some common characteristic so that every pixel belongs to exactly one segment. A segment analysis unit then performs some statistical analysis on the segment data for each of the frames and generates composite statistics for each frame. A frame comparison unit then examines these composite statistics to determine whether these frames belong to a consistent scene of images. If the composite statistics for these frames differ sufficiently, the comparison unit declares the latter frame in the sequence to belong to a new scene. This information may then be transmitted back to the data source for the purpose of marking the scene change or for any other purpose.
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公开(公告)号：US06909749B2
公开(公告)日：2005-06-21
申请号：US10196739
申请日：2002-07-15
CPC分类号： H04N19/537 , H04N19/52
摘要： In a method and apparatus for predicting and coding motion vectors in a video compression scheme, an ordered list of segments for a reference frame is used to create a hierarchy of segments with a plurality of levels. Motion vectors for segments in the top level are entropy coded, and these vectors are used to predict vectors for segments at the next level. Residual vectors are entropy coded to correct these predictions, and the process of prediction from above and coding residuals continues recursively down through the hierarchy of segment levels. Information about the previous motion of segments may be exploited in the prediction process. In a complementary method and apparatus for decoding motion vectors, the same segment hierarchy is used to predict motion vectors by the same method used during encoding, and these predicted vectors are added to residual motion vectors to reconstruct the actual motion vectors.
摘要翻译： 在用于在视频压缩方案中预测和编码运动矢量的方法和装置中，使用用于参考帧的片段的有序列表来创建具有多个级别的片段的层级。 顶层的段的运动矢量被熵编码，并且这些向量用于预测下一级段的向量。 残差向量被熵编码以校正这些预测，并且来自上述的预测过程和编码残差在分段级别的层次上递归地下降。 关于段的先前动作的信息可以在预测过程中被利用。 在用于解码运动矢量的补充方法和装置中，使用相同的分段层级来通过编码期间使用的相同方法来预测运动矢量，并将这些预测向量加到残余运动矢量上以重构实际的运动矢量。
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17.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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18.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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公开(公告)号：US07362374B2
公开(公告)日：2008-04-22
申请号：US10646334
申请日：2003-08-22
申请人： Gary R. Holt , Edward R. Ratner
发明人： Gary R. Holt , Edward R. Ratner
摘要： One embodiment disclosed relates to the use of object motion estimation to interlace a progressive video sequence. One of a plurality of consecutive frames is segmented and motion vectors for each segment are determined though object motion estimation. Interpolated motion vectors are used to construct at least one intermediate frame, and interlaced fields are extracted from the new sequence of frames that includes intermediate frames. An interlaced sequence with smooth, incremental motion is thus constructed from a progressive video sequence.
摘要翻译： 公开的一个实施例涉及使用对象运动估计来交织逐行视频序列。 分割多个连续帧中的一个，并且通过对象运动估计来确定每个段的运动矢量。 内插运动矢量用于构建至少一个中间帧，并且从包括中间帧的新的帧序列中提取隔行扫描场。 因此，从逐行视频序列构建具有平滑的增量运动的隔行扫描序列。
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公开(公告)号：US07356182B1
公开(公告)日：2008-04-08
申请号：US10729348
申请日：2003-12-05
IPC分类号： G06K9/00
摘要： One embodiment of the invention pertains to a method of determining a measure of image complexity. An image is subdivided the image into a plurality of small image regions. Multiple statistical tests are performed to determine the similarity of a pair of adjacent image regions. If said pair passes the multiple statistical tests, then the pair of adjacent image regions are grouped together into one new region. The resulting merged regions may be weighted according to geometry and/or color variance, and the weights may be summed to produce an image complexity measure.
摘要翻译： 本发明的一个实施例涉及一种确定图像复杂度测量的方法。 图像将图像细分成多个小图像区域。 执行多个统计测试以确定一对相邻图像区域的相似性。 如果所述对通过多个统计测试，则该对相邻图像区域被分组在一起成为一个新的区域。 所得到的合并区域可以根据几何和/或颜色方差加权，并且权重可以相加以产生图像复杂度度量。
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