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公开(公告)号：US20150074574A1
公开(公告)日：2015-03-12
申请号：US14547078
申请日：2014-11-18
申请人： Google Inc.
IPC分类号： G06F17/30 , G06F3/0484 , H04N5/232
CPC分类号： G06F17/3028 , G06F3/04842 , G06K9/6219 , G06T11/60 , H04N5/23216 , H04N5/23293
摘要： A computer-implemented technique can receive a plurality of photos and automatically select a subset of the plurality of photos having a high degree of representativeness by jointly maximizing both photo quality and photo diversity to obtain a photo album. The technique can determine one or more clusters for the photo album using a hierarchical clustering algorithm, and store the photo album according to the one or more clusters. The technique can control the manner in which the photo album is displayed using the one or more clusters. The technique can adjust at least one of the one or more clusters and the automatic photo album generation based on user input. The user input can include at least one of adding, deleting, and moving a photo with respect to the one or more clusters. The technique can then re-cluster, automatically generate a new photo album, and/or adjust the presentation.
摘要翻译： 计算机实现的技术可以接收多张照片，并通过联合最大化照片质量和照片分集来获得相册，自动选择具有高度代表性的多张照片的子集。 该技术可以使用分层聚类算法确定相册的一个或多个聚类，并根据一个或多个聚类存储相册。 该技术可以使用一个或多个聚类来控制相册的显示方式。 该技术可以基于用户输入来调整一个或多个聚类中的至少一个和自动相册的生成。 用户输入可以包括关于一个或多个聚类的添加，删除和移动照片中的至少一个。 该技术可以重新聚集，自动生成新的相册和/或调整演示文稿。
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2.发明授权Systems and methods for improved coverage of input media in content summarization 有权内容摘要中提高输入媒体覆盖率的系统和方法公开(公告)号：US09471679B2
公开(公告)日：2016-10-18
申请号：US14194518
申请日：2014-02-28
申请人： Google Inc.
IPC分类号： G06F17/30
CPC分类号： G06F17/30843
摘要： The disclosed technology includes techniques for improved content coverage in automatically-generated content summaries. The technique may include clustering a set of input content, determining diffusion for each cluster, and selecting representatives of each cluster to optimize other secondary metrics. Various types of input content may be used, including groups of images, video clips, or other multimedia content. Contiguous content may be manually or programmatically divided into discrete portions before clustering, for example, a lengthy video divided into a number of short clips. In some implementations, the disclosed technique may be implemented effectively on a mobile device. In other words, the processing required may be computationally feasible for execution on a smartphone or similar device.
摘要翻译： 所公开的技术包括用于改进自动生成的内容摘要中的内容覆盖的技术。 该技术可以包括对一组输入内容进行聚类，确定每个集群的扩散，以及选择每个集群的代表以优化其他次要度量。 可以使用各种类型的输入内容，包括图像组，视频剪辑或其他多媒体内容。 连续的内容可以在聚类之前被手动地或者编程地划分成离散的部分，例如，被分成多个短片段的冗长的视频。 在一些实现中，可以在移动设备上有效地实现所公开的技术。 换句话说，所需的处理在计算上可以在智能电话或类似设备上执行。
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公开(公告)号：US08913152B1
公开(公告)日：2014-12-16
申请号：US13628820
申请日：2012-09-27
申请人： Google Inc.
IPC分类号： H04N5/228
CPC分类号： G06F17/3028 , G06F3/04842 , G06K9/6219 , G06T11/60 , H04N5/23216 , H04N5/23293
摘要： A computer-implemented technique can receive a plurality of photos and automatically select a subset of the plurality of photos having a high degree of representativeness by jointly maximizing both photo quality and photo diversity to obtain a photo album. The technique can determine one or more clusters for the photo album using a hierarchical clustering algorithm, and store the photo album according to the one or more clusters. The technique can control the manner in which the photo album is displayed using the one or more clusters. The technique can adjust at least one of the one or more clusters and the automatic photo album generation based on user input. The user input can include at least one of adding, deleting, and moving a photo with respect to the one or more clusters. The technique can then re-cluster, automatically generate a new photo album, and/or adjust the presentation.
摘要翻译： 计算机实现的技术可以接收多张照片，并通过联合最大化照片质量和照片分集来获得相册，自动选择具有高度代表性的多张照片的子集。 该技术可以使用分层聚类算法确定相册的一个或多个聚类，并根据一个或多个聚类存储相册。 该技术可以使用一个或多个聚类来控制相册的显示方式。 该技术可以基于用户输入来调整一个或多个聚类中的至少一个和自动相册的生成。 用户输入可以包括关于一个或多个聚类的添加，删除和移动照片中的至少一个。 该技术可以重新聚集，自动生成新的相册和/或调整演示文稿。
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公开(公告)号：US09996109B2
公开(公告)日：2018-06-12
申请号：US14826437
申请日：2015-08-14
申请人： Google Inc.
CPC分类号： G06F1/163 , G06F1/3206 , G06F1/3265 , G06F3/014 , G06F3/017 , G06F3/0346 , G06F3/038 , G06F2200/1637 , Y02D10/153
摘要： In one example, a method includes determining, by a processor (104) of a wearable computing device (102) and based on motion data generated by a motion sensor (106) of the wearable computing device, one or more strokes. In this example, the method also includes generating, by the processor and based on the motion data, a respective attribute vector for each respective stroke from the one or more strokes and classifying, by the processor and based on the respective attribute vector, each respective stroke from the one or more strokes into at least one category. In this example, the method also includes determining, by the processor and based on a gesture library and the at least one category for each stroke from the one or more strokes, a gesture. In this example, the method also includes performing, by the wearable device and based on the gesture, an action.
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公开(公告)号：US09626384B2
公开(公告)日：2017-04-18
申请号：US14547078
申请日：2014-11-18
申请人： Google Inc.
IPC分类号： G06F17/30 , G06F3/0484 , H04N5/232 , G06T11/60 , G06K9/62
CPC分类号： G06F17/3028 , G06F3/04842 , G06K9/6219 , G06T11/60 , H04N5/23216 , H04N5/23293
摘要： A computer-implemented technique can receive a plurality of photos and automatically select a subset of the plurality of photos having a high degree of representativeness by jointly maximizing both photo quality and photo diversity to obtain a photo album. The technique can determine one or more clusters for the photo album using a hierarchical clustering algorithm, and store the photo album according to the one or more clusters. The technique can control the manner in which the photo album is displayed using the one or more clusters. The technique can adjust at least one of the one or more clusters and the automatic photo album generation based on user input. The user input can include at least one of adding, deleting, and moving a photo with respect to the one or more clusters. The technique can then re-cluster, automatically generate a new photo album, and/or adjust the presentation.
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6.发明申请SYSTEMS AND METHODS FOR IMPROVED COVERAGE OF INPUT MEDIA IN CONTENT SUMMARIZATION 有权在内容概要中改进输入媒体覆盖的系统和方法公开(公告)号：US20150120733A1
公开(公告)日：2015-04-30
申请号：US14194518
申请日：2014-02-28
申请人： Google Inc.
IPC分类号： G06F17/30
CPC分类号： G06F17/30843
摘要： The disclosed technology includes techniques for improved content coverage in automatically-generated content summaries. The technique may include clustering a set of input content, determining diffusion for each cluster, and selecting representatives of each cluster to optimize other secondary metrics. Various types of input content may be used, including groups of images, video clips, or other multimedia content. Contiguous content may be manually or programmatically divided into discrete portions before clustering, for example, a lengthy video divided into a number of short clips. In some implementations, the disclosed technique may be implemented effectively on a mobile device. In other words, the processing required may be computationally feasible for execution on a smartphone or similar device.
摘要翻译： 所公开的技术包括用于改进自动生成的内容摘要中的内容覆盖的技术。 该技术可以包括对一组输入内容进行聚类，确定每个集群的扩散，以及选择每个集群的代表以优化其他次要度量。 可以使用各种类型的输入内容，包括图像组，视频剪辑或其他多媒体内容。 连续的内容可以在聚类之前被手动地或者编程地划分成离散的部分，例如，被分成多个短片段的冗长的视频。 在一些实现中，可以在移动设备上有效地实现所公开的技术。 换句话说，所需的处理在计算上可以在智能电话或类似设备上执行。
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公开(公告)号：US20150117707A1
公开(公告)日：2015-04-30
申请号：US14228273
申请日：2014-03-28
申请人： Google Inc.
IPC分类号： G06T7/20
CPC分类号： G06T7/2006 , G06T7/215 , G06T2207/10016 , G06T2207/20021
摘要： Techniques for determining motion saliency in video content using center-surround receptive fields. In some implementations, images or frames from a video may be apportioned into non-overlapped regions, for example, by applying a rectilinear grid. For each grid region, or cell, motion consistency may be measured between the center and surround area of that cell across frames of the video. Consistent motion across the center-surround area may indicate that the corresponding region has low variation. The larger the difference between center-surround motions in a cell, the more likely the region has high motion saliency.
摘要翻译： 用于使用中心环绕接收场来确定视频内容中的运动显着性的技术。 在一些实现中，来自视频的图像或帧可以例如通过应用直线网格而被分配到非重叠区域中。 对于每个网格区域或单元格，可以在视频的帧之间的该单元的中心区域和环绕区域之间测量运动一致性。 穿过中心环绕区域的一致运动可以指示对应的区域具有低的变化。 细胞中心环绕运动之间的差异越大，该区域的运动显着性就越高。
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公开(公告)号：US20160048161A1
公开(公告)日：2016-02-18
申请号：US14826437
申请日：2015-08-14
申请人： Google Inc.
CPC分类号： G06F1/163 , G06F1/3206 , G06F1/3265 , G06F3/014 , G06F3/017 , G06F3/0346 , G06F3/038 , G06F2200/1637 , Y02D10/153
摘要： In one example, a method includes determining, by a processor (104) of a wearable computing device (102) and based on motion data generated by a motion sensor (106) of the wearable computing device, one or more strokes. In this example, the method also includes generating, by the processor and based on the motion data, a respective attribute vector for each respective stroke from the one or more strokes and classifying, by the processor and based on the respective attribute vector, each respective stroke from the one or more strokes into at least one category. In this example, the method also includes determining, by the processor and based on a gesture library and the at least one category for each stroke from the one or more strokes, a gesture. In this example, the method also includes performing, by the wearable device and based on the gesture, an action.
摘要翻译： 在一个示例中，方法包括由可佩戴计算设备（102）的处理器（104）确定基于由可穿戴计算设备的运动传感器（106）产生的运动数据，一个或多个笔划。 在该示例中，该方法还包括由处理器和基于运动数据生成来自一个或多个笔划的每个相应笔划的相应属性向量，并由处理器根据相应的属性向量分别分别对应 从一个或多个笔画到至少一个类别的笔画。 在该示例中，该方法还包括由处理器基于手势库以及来自一个或多个笔画的每个笔划的至少一个类别来确定手势。 在该示例中，该方法还包括通过可穿戴设备并基于手势来执行动作。
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公开(公告)号：US09208573B2
公开(公告)日：2015-12-08
申请号：US14228273
申请日：2014-03-28
申请人： Google Inc.
CPC分类号： G06T7/2006 , G06T7/215 , G06T2207/10016 , G06T2207/20021
摘要： Techniques for determining motion saliency in video content using center-surround receptive fields. In some implementations, images or frames from a video may be apportioned into non-overlapped regions, for example, by applying a rectilinear grid. For each grid region, or cell, motion consistency may be measured between the center and surround area of that cell across frames of the video. Consistent motion across the center-surround area may indicate that the corresponding region has low variation. The larger the difference between center-surround motions in a cell, the more likely the region has high motion saliency.
摘要翻译： 用于使用中心环绕接收场来确定视频内容中的运动显着性的技术。 在一些实现中，来自视频的图像或帧可以例如通过应用直线网格而被分配到非重叠区域中。 对于每个网格区域或单元格，可以在视频的帧之间的该单元的中心区域和环绕区域之间测量运动一致性。 穿过中心环绕区域的一致运动可以指示对应的区域具有低的变化。 细胞中心环绕运动之间的差异越大，该区域的运动显着性就越高。
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