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公开(公告)号：US09479694B2
公开(公告)日：2016-10-25
申请号：US14526355
申请日：2014-10-28
Applicant: Google Inc.
Inventor： Rodrigo Lima Carceroni , Marius Renn , Alan Newberger , Sascha Häberling , Jacob Mintz , Andrew Huibers
CPC classification number: H04N5/23219 , G06F17/30256 , G06F17/3028 , G06F17/30719 , G06F17/30781 , G06K9/00744 , G06K9/00751 , G06T1/0007 , H04N5/23222 , H04N5/23245
Abstract: Implementations of the disclosed technology include techniques for autonomously collecting image data, and generating photo summaries based thereon. In some implementations, a plurality of images may be autonomously sampled from an available stream of image data. For example, a camera application of a smartphone or other mobile computing device may present a live preview based on a stream of data from an image capture device. The live stream of image capture data may be sampled and the most interesting photos preserved for further filtering and presentation. The preserved photos may be further winnowed as a photo session continues and an image object generated summarizing the remaining photos. Accordingly, image capture data may be autonomously collected, filtered, and formatted to enable a photographer to see what moments they missed manually capturing during a photo session.
Abstract translation: 所公开的技术的实现包括用于自主地收集图像数据的技术，并且基于此产生照片摘要。 在一些实现中，可以从可用的图像数据流中自主地采样多个图像。 例如，智能电话或其他移动计算设备的相机应用可以基于来自图像捕获设备的数据流来呈现实时预览。 图像捕获数据的实时流可以被采样，并且保存最有趣的照片用于进一步的滤波和呈现。 随着照片会话继续，保存的照片可能进一步被识别，并且生成的图像对象汇总剩余的照片。 因此，图像捕获数据可以被自动地收集，过滤和格式化，以使得摄影师可以看到他们在照相会话期间手动捕获的错误时刻。
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公开(公告)号：US20160119536A1
公开(公告)日：2016-04-28
申请号：US14526355
申请日：2014-10-28
Applicant: Google Inc.
Inventor： Rodrigo Lima Carceroni , Marius Renn , Alan Newberger , Sascha Häberling , Jacob Mintz , Andrew Huibers
IPC: H04N5/232
CPC classification number: H04N5/23219 , G06F17/30256 , G06F17/3028 , G06F17/30719 , G06F17/30781 , G06K9/00744 , G06K9/00751 , G06T1/0007 , H04N5/23222 , H04N5/23245
Abstract: Implementations of the disclosed technology include techniques for autonomously collecting image data, and generating photo summaries based thereon. In some implementations, a plurality of images may be autonomously sampled from an available stream of image data. For example, a camera application of a smartphone or other mobile computing device may present a live preview based on a stream of data from an image capture device. The live stream of image capture data may be sampled and the most interesting photos preserved for further filtering and presentation. The preserved photos may be further winnowed as a photo session continues and an image object generated summarizing the remaining photos. Accordingly, image capture data may be autonomously collected, filtered, and formatted to enable a photographer to see what moments they missed manually capturing during a photo session.
Abstract translation: 所公开的技术的实现包括用于自主地收集图像数据的技术，并且基于此产生照片摘要。 在一些实现中，可以从可用的图像数据流中自主地采样多个图像。 例如，智能电话或其他移动计算设备的相机应用可以基于来自图像捕获设备的数据流来呈现实时预览。 图像捕获数据的实时流可以被采样，并且保存最有趣的照片用于进一步的滤波和呈现。 随着照片会话继续，保存的照片可能进一步被识别，并且生成的图像对象汇总剩余的照片。 因此，图像捕获数据可以被自动地收集，过滤和格式化，以使得摄影师可以看到他们在照相会话期间手动捕获的错误时刻。
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公开(公告)号：US20170041532A1
公开(公告)日：2017-02-09
申请号：US15299935
申请日：2016-10-21
Applicant: Google Inc.
Inventor： Rodrigo Lima Carceroni , Marius Renn , Alan Newberger , Sascha Häberling , Jacob Mintz , Andrew Huibers
CPC classification number: H04N5/23219 , G06F17/30256 , G06F17/3028 , G06F17/30719 , G06F17/30781 , G06K9/00744 , G06K9/00751 , G06T1/0007 , H04N5/23222 , H04N5/23245
Abstract: Implementations of the disclosed technology include techniques for autonomously collecting image data, and generating photo summaries based thereon. In some implementations, a plurality of images may be autonomously sampled from an available stream of image data. For example, a camera application of a smartphone or other mobile computing device may present a live preview based on a stream of data from an image capture device. The live stream of image capture data may be sampled and the most interesting photos preserved for further filtering and presentation. The preserved photos may be further winnowed as a photo session continues and an image object generated summarizing the remaining photos. Accordingly, image capture data may be autonomously collected, filtered, and formatted to enable a photographer to see what moments they missed manually capturing during a photo session.
Abstract translation: 所公开的技术的实现包括用于自主地收集图像数据的技术，并且基于此产生照片摘要。 在一些实现中，可以从可用的图像数据流中自主地采样多个图像。 例如，智能电话或其他移动计算设备的相机应用可以基于来自图像捕获设备的数据流来呈现实时预览。 图像捕获数据的实时流可以被采样，并且保存最有趣的照片用于进一步的滤波和呈现。 随着照片会话继续，保存的照片可能进一步被识别，并且生成的图像对象汇总剩余的照片。 因此，图像捕获数据可以被自动地收集，过滤和格式化，以使得摄影师可以看到他们在照相会话期间手动捕获的错误时刻。
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4.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
Applicant: Google Inc.
Inventor： Rodrigo Carceroni , Pannag Raghunath Sanketi , Marius Renn , Ruei-sung Lin , Wei Hua
IPC: G06F17/30
CPC classification number: G06F17/30843
Abstract: 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.
Abstract translation: 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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Patent Agency Ranking
公开(公告)号：US20150117707A1
公开(公告)日：2015-04-30
申请号：US14228273
申请日：2014-03-28
Applicant: Google Inc.
Inventor： Rodrigo Lima Carceroni , Pannag Raghunath Sanketi , Marius Renn , Ruei-Sung Lin , Wei Hua
IPC: G06T7/20
CPC classification number: G06T7/2006 , G06T7/215 , G06T2207/10016 , G06T2207/20021
Abstract: 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.
Abstract translation: 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：US09854160B2
公开(公告)日：2017-12-26
申请号：US15299935
申请日：2016-10-21
Applicant: Google Inc.
Inventor： Rodrigo Lima Carceroni , Marius Renn , Alan Newberger , Sascha Häberling , Jacob Mintz , Andrew Huibers
CPC classification number: H04N5/23219 , G06F17/30256 , G06F17/3028 , G06F17/30719 , G06F17/30781 , G06K9/00744 , G06K9/00751 , G06T1/0007 , H04N5/23222 , H04N5/23245
Abstract: Implementations of the disclosed technology include techniques for autonomously collecting image data, and generating photo summaries based thereon. In some implementations, a plurality of images may be autonomously sampled from an available stream of image data. For example, a camera application of a smartphone or other mobile computing device may present a live preview based on a stream of data from an image capture device. The live stream of image capture data may be sampled and the most interesting photos preserved for further filtering and presentation. The preserved photos may be further winnowed as a photo session continues and an image object generated summarizing the remaining photos. Accordingly, image capture data may be autonomously collected, filtered, and formatted to enable a photographer to see what moments they missed manually capturing during a photo session.
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7.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
Applicant: Google Inc.
Inventor： Rodrigo Carceroni , Pannag Raghunath Sanketi , Marius Renn , Ruei-sung Lin , Wei Hua
IPC: G06F17/30
CPC classification number: G06F17/30843
Abstract: 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.
Abstract translation: 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：US20170221217A1
公开(公告)日：2017-08-03
申请号：US15010239
申请日：2016-01-29
Applicant: Google Inc.
Inventor： Wei Hong , Marius Renn , Rodrigo Carceroni
CPC classification number: G06T7/269 , G06T7/0044 , G06T7/204 , G06T7/206 , G06T7/2066 , G06T7/248 , G06T7/254 , G06T7/337 , G06T2207/10016 , G06T2207/20021 , G06T2207/20048 , G06T2207/30241 , G06T2207/30244
Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for detecting motion in images. A computing system receives first and second images that were captured by a camera. The computing system generates, using the images, a mathematical transformation that indicates movement of the camera from the first image to the second image. The computing system generates, using the first image and the mathematical transformation, a modified version of the first image that presents the scene that was captured by the first image from a position of the camera when the second image was captured. The computing system determines a portion of the first image or second image at which a position of an object in the scene moved, by comparing the modified version of the first image to the second image.
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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
Applicant: Google Inc.
Inventor： Rodrigo Lima Carceroni , Pannag Raghunath Sanketi , Marius Renn , Ruei-Sung Lin , Wei Hua
CPC classification number: G06T7/2006 , G06T7/215 , G06T2207/10016 , G06T2207/20021
Abstract: 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.
Abstract translation: 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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