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。

公开(公告)号：US08707201B1

公开(公告)日：2014-04-22

申请号：US13648972

申请日：2012-10-10

Applicant: Google Inc.

Inventor： Hrishikesh Aradhye ,  Wei Hua ,  Ruei-sung Lin ,  Mohammad Saberian

IPC: G06F3/048 ,  G06F3/0481 ,  G06F3/0482

CPC classification number: G06F17/3053 ,  G06F3/0481 ,  G06F3/0482 ,  G06Q10/107 ,  H04L51/24 ,  H04L51/26 ,  H04L51/38

Abstract: Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying notifications based on the priority of a notification. According to an embodiment of the disclosed technology, a computer-implement method is provided that comprises outputting, to a display device operatively coupled to a mobile device, a plurality of notifications, wherein each respective notification from the plurality of notifications is associated with a respective priority score; modifying, by the mobile device, a ranking model based on a user input received responsive to a first notification from the plurality of notifications and a characteristic of a second notification from the plurality of notifications; determining, by the mobile device, a priority score associated with a third notification based on the modified ranking model; and outputting, to the display device, the third notification based on the priority score associated with the third notification, wherein the third notification is graphically emphasized responsive to the priority score associated with the third notification being greater than at least one respective priority score associated with a corresponding respective notification from the plurality of notifications.

Abstract translation: 所公开技术的某些实施例包括用于使用机器学习确定移动设备上的通知的优先级的系统和方法。 所公开技术的其他方面包括基于通知的优先级选择性地显示通知。 根据所公开的技术的实施例，提供了一种计算机实现方法，其包括向可操作地耦合到移动设备的显示设备输出多个通知，其中来自所述多个通知的每个相应通知与相应的 优先分数 由所述移动设备修改基于响应于来自所述多个通知的第一通知接收到的用户输入和来自所述多个通知的第二通知的特征的排序模型; 确定，由所述移动设备，其中基于修改的排名模型的第三通知相关联的优先级分数; 并输出到显示装置，基于与所述第三通知，相关联的优先级得分的第三通知，其中，所述第三通知被图形强调响应于与所述第三通知比与相关联的至少一个各自的优先级得分更大的相关联的优先级得分 从所述多个通知对应的相应通知。

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。