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公开(公告)号：US08665345B2
公开(公告)日：2014-03-04
申请号：US13110085
申请日：2011-05-18
申请人： Keith Stoll Karn , Bruce Harold Pillman , Aaron Thomas Deever , John Robert McCoy , Frank Razavi , Robert Gretzinger
发明人： Keith Stoll Karn , Bruce Harold Pillman , Aaron Thomas Deever , John Robert McCoy , Frank Razavi , Robert Gretzinger
IPC分类号： H04N5/76
摘要： A digital video camera system that provides a video summary using a method that includes: specifying reference data, wherein the reference data indicates a feature of interest; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a feature recognition algorithm to identify a subset of the image frames that contain the feature of interest; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the feature of interest; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.
摘要翻译： 一种数字摄像机系统，其使用包括：指定参考数据的方法提供视频摘要，其中所述参考数据指示感兴趣的特征; 使用图像传感器捕获场景的视频序列，所述视频序列包括图像帧的时间序列; 使用视频处理路径处理所捕获的视频序列以形成数字视频文件; 在捕获视频序列期间，使用特征识别算法分析所捕获的图像帧以识别包含感兴趣特征的图像帧的子集; 形成包括所捕获的视频序列中的所有图像帧的视频摘要，其中视频摘要包括所识别的包含感兴趣特征的图像帧的子集的至少一部分; 将数字视频文件存储在存储存储器中; 以及将所述视频摘要的表示存储在所述存储存储器中。
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公开(公告)号：US20120293687A1
公开(公告)日：2012-11-22
申请号：US13110056
申请日：2011-05-18
申请人： Keith Stoll Karn , Bruce Harold Pillman , Aaron Thomas Deever , John Robert McCoy , Frank Razavi , Robert Gretzinger
发明人： Keith Stoll Karn , Bruce Harold Pillman , Aaron Thomas Deever , John Robert McCoy , Frank Razavi , Robert Gretzinger
IPC分类号： H04N5/76
CPC分类号： G06K9/00536 , G06F17/30843 , H04N5/23219 , H04N5/23229 , H04N21/2743 , H04N21/4223 , H04N21/44008 , H04N21/472 , H04N21/6125 , H04N21/8549
摘要： A digital video camera system that provides a video summary using a method that includes: designating a reference image containing a particular person; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a person recognition algorithm to identify a subset of the image frames that contain the particular person; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the particular person; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.
摘要翻译： 一种数字摄像机系统，其使用包括以下方法提供视频摘要：指定包含特定人物的参考图像; 使用图像传感器捕获场景的视频序列，所述视频序列包括图像帧的时间序列; 使用视频处理路径处理所捕获的视频序列以形成数字视频文件; 在捕获视频序列期间，使用人物识别算法分析所捕获的图像帧以识别包含特定人物的图像帧的子集; 形成包括所捕获的视频序列中的所有图像帧的视频摘要，其中所述视频摘要包括所识别的包含所述特定人物的图像帧子集的至少一部分; 将数字视频文件存储在存储存储器中; 以及将所述视频摘要的表示存储在所述存储存储器中。
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公开(公告)号：US08643746B2
公开(公告)日：2014-02-04
申请号：US13110056
申请日：2011-05-18
申请人： Keith Stoll Karn , Bruce Harold Pillman , Aaron Thomas Deever , John Robert McCoy , Frank Razavi , Robert Gretzinger
发明人： Keith Stoll Karn , Bruce Harold Pillman , Aaron Thomas Deever , John Robert McCoy , Frank Razavi , Robert Gretzinger
IPC分类号： H04N5/76
CPC分类号： G06K9/00536 , G06F17/30843 , H04N5/23219 , H04N5/23229 , H04N21/2743 , H04N21/4223 , H04N21/44008 , H04N21/472 , H04N21/6125 , H04N21/8549
摘要： A digital video camera system that provides a video summary using a method that includes: designating a reference image containing a particular person; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a person recognition algorithm to identify a subset of the image frames that contain the particular person; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the particular person; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.
摘要翻译： 一种数字摄像机系统，其使用包括以下方法提供视频摘要：指定包含特定人物的参考图像; 使用图像传感器捕获场景的视频序列，所述视频序列包括图像帧的时间序列; 使用视频处理路径处理所捕获的视频序列以形成数字视频文件; 在捕获视频序列期间，使用人物识别算法分析所捕获的图像帧以识别包含特定人物的图像帧的子集; 形成包括所捕获的视频序列中的所有图像帧的视频摘要，其中所述视频摘要包括所识别的包含所述特定人物的图像帧子集的至少一部分; 将数字视频文件存储在存储存储器中; 以及将所述视频摘要的表示存储在所述存储存储器中。
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公开(公告)号：US20120293686A1
公开(公告)日：2012-11-22
申请号：US13110085
申请日：2011-05-18
申请人： Keith Stoll Karn , Bruce Harold Pillman , Aaron Thomas Deever , John Robert McCoy , Frank Razavi , Robert Gretzinger
发明人： Keith Stoll Karn , Bruce Harold Pillman , Aaron Thomas Deever , John Robert McCoy , Frank Razavi , Robert Gretzinger
IPC分类号： H04N5/76
摘要： A digital video camera system that provides a video summary using a method that includes: specifying reference data, wherein the reference data indicates a feature of interest; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a feature recognition algorithm to identify a subset of the image frames that contain the feature of interest; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the feature of interest; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.
摘要翻译： 一种数字摄像机系统，其使用包括：指定参考数据的方法提供视频摘要，其中所述参考数据指示感兴趣的特征; 使用图像传感器捕获场景的视频序列，所述视频序列包括图像帧的时间序列; 使用视频处理路径处理所捕获的视频序列以形成数字视频文件; 在捕获视频序列期间，使用特征识别算法分析所捕获的图像帧以识别包含感兴趣特征的图像帧的子集; 形成包括所捕获的视频序列中的所有图像帧的视频摘要，其中视频摘要包括所识别的包含感兴趣特征的图像帧的子集的至少一部分; 将数字视频文件存储在存储存储器中; 以及将所述视频摘要的表示存储在所述存储存储器中。
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公开(公告)号：US08989503B2
公开(公告)日：2015-03-24
申请号：US13565919
申请日：2012-08-03
IPC分类号： G06K9/48
CPC分类号： G06K9/00765 , G06K9/00 , G06K9/00751 , G06K9/48 , G06K9/6249 , G06K2009/4695
摘要： A method for identifying a set of key video frames from a video sequence comprising extracting feature vectors for each video frame and applying a group sparsity algorithm to represent the feature vector for a particular video frame as a group sparse combination of the feature vectors for the other video frames. Weighting coefficients associated with the group sparse combination are analyzed to determine video frame clusters of temporally-contiguous, similar video frames. The video sequence is segmented into scenes by identifying scene boundaries based on the determined video frame clusters.
摘要翻译： 一种用于从视频序列中识别一组关键视频帧的方法，包括提取每个视频帧的特征向量，并且应用组稀疏算法来表示特定视频帧的特征向量作为另一个的特征向量的组稀疏组合 视频帧。 分析与组稀疏组合相关联的加权系数，以确定时间上相邻的类似视频帧的视频帧聚类。 通过基于确定的视频帧聚类识别场景边界，将视频序列分割成场景。
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公开(公告)号：US08224176B1
公开(公告)日：2012-07-17
申请号：US12987403
申请日：2011-01-10
CPC分类号： H04N5/2354 , H04N5/23248
摘要： A method for capturing an improved archival image using an electronic image capture device having a flash, comprising: capturing at least two preview images of a scene at different capture times using the image capture device; determining a scene brightness; using a processor to analyze the captured preview images to determine a motion velocity for the scene; determining a flash exposure setting and an ambient exposure setting responsive to a ratio between the determined scene brightness and the determined motion velocity; and capturing an archival image using the determined flash exposure setting and the determined ambient exposure setting.
摘要翻译： 一种使用具有闪光灯的电子图像捕获装置捕获改进的档案图像的方法，包括：使用所述图像捕获装置在不同的拍摄时间捕获场景的至少两个预览图像; 确定场景亮度; 使用处理器分析所捕获的预览图像以确定场景的运动速度; 响应于所确定的场景亮度与所确定的运动速度之间的比率来确定闪光曝光设置和环境曝光设置; 以及使用确定的闪光曝光设置和所确定的环境曝光设置来捕获档案图像。
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公开(公告)号：US09076043B2
公开(公告)日：2015-07-07
申请号：US13565926
申请日：2012-08-03
IPC分类号： H04N5/445 , G06K9/00 , G11B27/034 , G11B27/28 , G06K9/62
CPC分类号： G06K9/00765 , G06K9/6249 , G11B27/034 , G11B27/28
摘要： A method for identifying a set of key video frames from a video sequence comprising extracting feature vectors for each video frame and applying a group sparsity algorithm to represent the feature vector for a particular video frame as a group sparse combination of the feature vectors for the other video frames. Weighting coefficients associated with the group sparse combination are analyzed to determine video frame clusters of temporally-contiguous, similar video frames. A summary is formed based on the determined video frame clusters.
摘要翻译： 一种用于从视频序列中识别一组关键视频帧的方法，包括提取每个视频帧的特征向量，并且应用组稀疏算法来表示特定视频帧的特征向量作为另一个的特征向量的组稀疏组合 视频帧。 分析与组稀疏组合相关联的加权系数，以确定时间上相邻的类似视频帧的视频帧聚类。 基于确定的视频帧聚类形成摘要。
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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：US20120201426A1
公开(公告)日：2012-08-09
申请号：US13021034
申请日：2011-02-04
IPC分类号： G06K9/00
CPC分类号： H04N5/2353 , G06T7/238 , G06T2207/20016 , H04N5/2351
摘要： A method for determining image capture settings for an electronic image capture device, comprising: capturing at least two preview images of a scene; analyzing the preview images to determine a combined motion velocity; determining one or more image capture settings responsive to the combined motion velocity; and capturing an archival image according to the determined image capture settings. The determination of the combined motion velocity includes: defining a plurality image regions; determining local motion velocities for each of the image regions; and combining the local motion velocities to determine the combined motion velocity.
摘要翻译： 一种用于确定电子图像捕获装置的图像捕获设置的方法，包括：捕获场景的至少两个预览图像; 分析预览图像以确定组合运动速度; 响应于组合的运动速度确定一个或多个图像捕获设置; 并根据所确定的图像捕捉设置来捕获档案图像。 组合运动速度的确定包括：定义多个图像区域; 确定每个图像区域的局部运动速度; 并结合局部运动速度来确定组合的运动速度。
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公开(公告)号：US08913835B2
公开(公告)日：2014-12-16
申请号：US13565911
申请日：2012-08-03
IPC分类号： G06K9/48
CPC分类号： G06K9/48 , G06K9/00718 , G06K9/00744 , G06K9/00751 , G06K9/00765 , G06K9/6224
摘要： A method for identifying a set of key video frames from a video sequence comprising extracting feature vectors for each video frame and applying a group sparsity algorithm to represent the feature vector for a particular video frame as a group sparse combination of the feature vectors for the other video frames. Weighting coefficients associated with the group sparse combination are analyzed to determine video frame clusters of temporally-contiguous, similar video frames. A set of key video frames are selected based on the determined video frame clusters.
摘要翻译： 一种用于从视频序列中识别一组关键视频帧的方法，包括提取每个视频帧的特征向量，并且应用组稀疏算法来表示特定视频帧的特征向量作为另一个的特征向量的组稀疏组合 视频帧。 分析与组稀疏组合相关联的加权系数，以确定时间上相邻的类似视频帧的视频帧聚类。 基于所确定的视频帧集群来选择一组关键视频帧。
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