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1. 发明申请

US20100260425A1 Method and Device for the Automated Comparison of Two Sets of Measurement Values 有权
公开(公告)号：US20100260425A1
公开(公告)日：2010-10-14
申请号：US12738144
申请日：2008-10-24
申请人： Christian Petersohn
发明人： Christian Petersohn
IPC分类号： G06K9/62 , G06F15/00
CPC分类号： G01D1/00 , G06K9/6212
摘要： A method and a device are for an automated comparison of at least two sets of measuring values. The measuring values of the two sets are assigned respectively to one class from a finite number of classes defined by indices so that a frequency distribution is defined respectively for each of the two sets, which frequency distribution indicates for each class a frequency of the measuring values assigned to this class. A distance measure reflecting a similarity or dissimilarity between the two sets of measuring values between these frequency distributions is calculated as a function of a final value of a first auxiliary value termed here match by way of example. The first auxiliary value match is calculated by an algorithm using two sets of variables in that, with a given maximum distance dmax≧1 for all integral distances d with 0≦d≦dmax, beginning with d=0 and continuing to larger distances d, respectively for all indices i and j at a distance from each other by the distance d. A current value of a further auxiliary value is defined as m=min(qi′, vj′), m stands for the further auxiliary value, qi′ for the variables of a first of the two sets of variables and vj′ for the variables of the second set of variables, the variables of the two sets of variables being defined at the beginning of the algorithm as qi′=qi, vj′=vj, wherein qi stands for the frequencies from a first of the two frequency distributions and vj for the frequencies of the second frequency distribution. Respectively the variables qi′ and vj′ are defined again by subtracting the current value of the further auxiliary value m and the current value of the further auxiliary value m, multiplied by a matrix element ai,j, is added to a current value of the first auxiliary value match defined originally as match=0, the matrix elements ai,j forming a similarity matrix with ai,i=1 for all indices i and 0≦ai,j

2. 发明申请

US20080232687A1 METHOD AND DEVICE FOR SELECTION OF KEY-FRAMES FOR RETRIEVING PICTURE CONTENTS, AND METHOD AND DEVICE FOR TEMPORAL SEGMENTATION OF A SEQUENCE OF SUCCESSIVE VIDEO PICTURES OR A SHOT 有权
标题翻译：用于选择用于检索图像内容的关键帧的方法和装置，以及用于时间分割连续视频图像或拍摄的序列的方法和装置
公开(公告)号：US20080232687A1
公开(公告)日：2008-09-25
申请号：US12052453
申请日：2008-03-20
申请人： Christian Petersohn
发明人： Christian Petersohn
IPC分类号： G06K9/34
CPC分类号： G06F17/30802 , G06F17/30811 , G06K9/00711 , G11B27/28
摘要： Exemplary embodiments are described in which is performed not only a shot detection (continuous recording with a camera) and an association of several key-frames to the shots, it then being possible for a subsequent scene recognition to be based on the grouping of shots into scenes. Rather, it is observed that a scene only relates to one event in a setting. Since both can change within a shot, not every scene boundary is at the same time also a shot boundary. In addition, not every shot is short enough, so that a reliable retrieval of different picture contents is not guaranteed. Therefore, exemplary embodiments are shown which are capable of defining sub-shots so that in principle, scene and shot boundaries are also sub-shot boundaries at the same time. Sub-shots furthermore include only video pictures with a small change in picture content.
摘要翻译：描述了不仅执行镜头检测（使用相机的连续记录）以及若干关键帧与镜头的关联的示例性实施例，则随后的场景识别可以基于将镜头分组场景相反，观察到场景仅与设置中的一个事件有关。由于两者都可以在一个镜头内改变，并不是每个场景边界同时也是一个镜头边界。另外，并不是每一个镜头都足够短，所以不能保证对不同图片内容的可靠检索。因此，示出了能够定义子拍摄的示例性实施例，使得原则上场景和镜头边界也是同时的子镜头边界。此外，子图片还包括仅具有图片内容变化小的视频图片。

3. 发明授权

US08249360B2 Method and device for the automated comparison of two sets of measurement values 有权
公开(公告)号：US08249360B2
公开(公告)日：2012-08-21
申请号：US12738144
申请日：2008-10-24
申请人： Christian Petersohn
发明人： Christian Petersohn
IPC分类号： G06K9/62
CPC分类号： G01D1/00 , G06K9/6212
摘要： A method and a device are for an automated comparison of at least two sets of measuring values. The measuring values of the two sets are assigned respectively to one class from a finite number of classes defined by indices so that a frequency distribution is defined respectively for each of the two sets, which frequency distribution indicates for each class a frequency of the measuring values assigned to this class. A distance measure reflecting a similarity or dissimilarity between the two sets of measuring values between these frequency distributions is calculated as a function of a final value of a first auxiliary value termed here match by way of example. The first auxiliary value match is calculated by an algorithm using two sets of variables in that, with a given maximum distance dmax≧1 for all integral distances d with 0≦d≦dmax, beginning with d=0 and continuing to larger distances d, respectively for all indices i and j at a distance from each other by the distance d. A current value of a further auxiliary value is defined as m=min (qi′, vj′), m stands for the further auxiliary value, qi′ for the variables of a first of the two sets of variables and vj′ for the variables of the second set of variables, the variables of the two sets of variables being defined at the beginning of the algorithm as qi′=qi, vj′=vj, wherein qi stands for the frequencies from a first of the two frequency distributions and vj for the frequencies of the second frequency distribution. Respectively the variables qi′ and vj′ are defined again by subtracting the current value of the further auxiliary value m and the current value of the further auxiliary value m, multiplied by a matrix element ai, j, is added to a current value of the first auxiliary value match defined originally as match=0, the matrix elements ai, j forming a similarity matrix with ai, i=1 for all indices i and 0≦ai, j≦1 for all indices i and j at a distance of at most dmax with i≠j.

4. 发明授权

US08189114B2 Automated method for temporal segmentation of a video into scenes with taking different types of transitions between frame sequences into account 有权
标题翻译：自动化方法，将视频的时间分割视为场景，并考虑帧序列之间的不同类型的转换
公开(公告)号：US08189114B2
公开(公告)日：2012-05-29
申请号：US12142029
申请日：2008-06-19
申请人： Christian Petersohn
发明人： Christian Petersohn
IPC分类号： H04N5/14 , H04N5/93 , H04N7/18 , G06K9/34
CPC分类号： H04N5/147 , G06K9/00765 , G11B27/28
摘要： The automated detection of scene boundaries supports the user in browsing a video. Establishing the similarity between two respective frame sequences is made by choosing and comparing respective key-frames from each frame sequence, which are temporally as far apart from each other as possible but lie outside gradual transitions. Additionally or alternatively, film grammar- and probability-based taking into account of all types of transitions with respect to their separating and/or merging effect on the frame sequences surrounding the transitions and a differently weighted incorporation of the effects of the different types of transitions into uniting frame sequences k into scenes is provided. Thus, all types of transitions are incorporated in determining frame sequence boundaries as scene boundaries with a corresponding weighting, both their separating and merging effect is taken into account, and this knowledge is introduced on a probability basis into the decision in existing scene detection methods.
摘要翻译：场景边界的自动检测支持用户浏览视频。通过选择和比较来自每个帧序列的各个关键帧，其在时间上尽可能远离彼此，但位于逐渐转变之外，从而建立两个相应帧序列之间的相似性。附加地或替代地，考虑到关于它们对于转换的帧序列的分离和/或合并效应的所有类型的转换的电影语法和概率以及不同类型的转换的效果的不同加权的并入提供将帧序列k组合成场景。因此，将所有类型的转换并入确定帧序列边界中作为具有相应加权的场景边界，考虑它们的分离和合并效应，并将该知识以概率基础引入到现有场景检测方法中的决策中。

5. 发明授权

US08363960B2 Method and device for selection of key-frames for retrieving picture contents, and method and device for temporal segmentation of a sequence of successive video pictures or a shot 有权
标题翻译：用于选择用于检索图像内容的关键帧的方法和装置，以及用于连续视频图像或拍摄序列的时间分割的方法和装置
公开(公告)号：US08363960B2
公开(公告)日：2013-01-29
申请号：US12052453
申请日：2008-03-20
申请人： Christian Petersohn
发明人： Christian Petersohn
IPC分类号： G06K9/62
CPC分类号： G06F17/30802 , G06F17/30811 , G06K9/00711 , G11B27/28
摘要： Exemplary embodiments are described in which is performed not only a shot detection (continuous recording with a camera) and an association of several key-frames to the shots, it then being possible for a subsequent scene recognition to be based on the grouping of shots into scenes. Rather, it is observed that a scene only relates to one event in a setting. Since both can change within a shot, not every scene boundary is at the same time also a shot boundary. In addition, not every shot is short enough, so that a reliable retrieval of different picture contents is not guaranteed. Therefore, exemplary embodiments are shown which are capable of defining sub-shots so that in principle, scene and shot boundaries are also sub-shot boundaries at the same time. Sub-shots furthermore include only video pictures with a small change in picture content.
摘要翻译：描述了不仅执行镜头检测（使用相机的连续记录）以及若干关键帧与镜头的关联的示例性实施例，则随后的场景识别可以基于将镜头分组场景相反，观察到场景仅与设置中的一个事件有关。由于两者都可以在一个镜头内改变，并不是每个场景边界同时也是一个镜头边界。另外，并不是每一个镜头都足够短，所以不能保证对不同图片内容的可靠检索。因此，示出了能够定义子拍摄的示例性实施例，使得原则上场景和镜头边界也是同时的子镜头边界。此外，子图片还包括仅具有图片内容变化小的视频图片。

6. 发明申请

US20080316307A1 AUTOMATED METHOD FOR TEMPORAL SEGMENTATION OF A VIDEO INTO SCENES WITH TAKING DIFFERENT TYPES OF TRANSITIONS BETWEEN FRAME SEQUENCES INTO ACCOUNT 有权
标题翻译：将视频分散到场景中的自动分类方法，将帧间序列转换成帐号之间的不同类型的转换
公开(公告)号：US20080316307A1
公开(公告)日：2008-12-25
申请号：US12142029
申请日：2008-06-19
申请人： Christian PETERSOHN
发明人： Christian PETERSOHN
IPC分类号： H04N5/91
CPC分类号： H04N5/147 , G06K9/00765 , G11B27/28
摘要： The automated detection of scene boundaries supports the user in browsing a video. Establishing the similarity between two respective frame sequences is made by choosing and comparing respective key-frames from each frame sequence, which are temporally as far apart from each other as possible but lie outside gradual transitions. Additionally or alternatively, film grammar- and probability-based taking into account of all types of transitions with respect to their separating and/or merging effect on the frame sequences surrounding the transitions and a differently weighted incorporation of the effects of the different types of transitions into uniting frame sequences k into scenes is provided. Thus, all types of transitions are incorporated in determining frame sequence boundaries as scene boundaries with a corresponding weighting, both their separating and merging effect is taken into account, and this knowledge is introduced on a probability basis into the decision in existing scene detection methods.
摘要翻译：场景边界的自动检测支持用户浏览视频。通过选择和比较来自每个帧序列的各个关键帧，其在时间上尽可能远离彼此，但位于逐渐转变之外，从而建立两个相应帧序列之间的相似性。附加地或替代地，考虑到关于它们对于转换的帧序列的分离和/或合并效应的所有类型的转换的电影语法和概率以及不同类型的转换的效果的不同加权的并入提供将帧序列k组合成场景。因此，将所有类型的转换并入确定帧序列边界中作为具有相应加权的场景边界，考虑它们的分离和合并效应，并将该知识以概率基础引入到现有场景检测方法中的决策中。

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