公开(公告)号：US10080042B1

公开(公告)日：2018-09-18

申请号：US15594359

申请日：2017-05-12

Applicant: Google Inc.

Inventor： Ullas Gargi ,  Jay N. Yagnik ,  Anindya Sarkar

IPC: H04N7/16 ,  H04H60/32 ,  H04N21/234 ,  H04N21/237 ,  H04N21/25 ,  H04N21/258 ,  H04N21/466

CPC classification number: H04N21/23418 ,  H04H20/93 ,  H04H60/31 ,  H04H60/46 ,  H04H60/59 ,  H04H60/63 ,  H04N21/237 ,  H04N21/251 ,  H04N21/25891 ,  H04N21/44008 ,  H04N21/44222 ,  H04N21/466 ,  H04N21/4826 ,  H04N21/6582

Abstract: User engagement in unwatched videos is predicted by collecting and aggregating data describing user engagement with watched videos. The data are normalized to reduce the influence of factors other than the content of the videos on user engagement. Engagement metrics are calculated for segments of watched videos that indicate user engagement with each segment relative to overall user engagement with the watched videos. Features of the watched videos within time windows are characterized, and a function is learned that relates the features of the videos within the time windows to the engagement metrics for the time windows. The features of a time window of an unwatched video are characterized, and the learned function is applied to the features to predict user engagement to the time window of the unwatched video. The unwatched video can be enhanced based on the predicted user engagement.

公开(公告)号：US09715641B1

公开(公告)日：2017-07-25

申请号：US14585075

申请日：2014-12-29

Applicant: Google Inc.

Inventor： Vivek Kwatra ,  Ullas Gargi ,  Mehmet Emre Sargin ,  Henry Hao Tang

IPC: G06K9/00 ,  G06K9/62 ,  G06N99/00 ,  G06K9/46

CPC classification number: G06K9/6256 ,  G06K9/00536 ,  G06K9/00724 ,  G06K9/46 ,  G06K9/4647 ,  G06K2009/00738 ,  G06N99/005

Abstract: A highlight learning technique is provided to detect and identify highlights in sports videos. A set of event models are calculated from low-level frame information of the sports videos to identify recurring events within the videos. The event models are used to characterize videos by detecting events within the videos and using the detected events to generate an event vector. The event vector is used to train a classifier to identify the videos as highlight or non-highlight.

公开(公告)号：US20160011656A1

公开(公告)日：2016-01-14

申请号：US14863912

申请日：2015-09-24

Applicant: Google Inc.

Inventor： Ullas Gargi ,  Richard Carl Gossweiler, III

IPC: G06F3/01 ,  G06F3/16 ,  G06F3/0346

CPC classification number: G06F3/167 ,  G06F3/011 ,  G06F3/017 ,  G06F3/0346 ,  G06F3/04883 ,  G06F17/30864 ,  G06F17/3087 ,  G06F17/30976 ,  G06F2200/1636 ,  G06F2200/1637

Abstract: In one example, a method includes receiving, by a computing device, an indication of a detected force applied to the computing device. The method further comprises determining, by the computing device, that the detected force matches a corresponding input that the computing device associates with a corresponding function that is executable by the computing device. The method further comprises generating, by the computing device and in response to determining that the detected force matches the corresponding input and, a non-visual output based on the corresponding function.

Abstract translation: 在一个示例中，方法包括由计算设备接收施加到计算设备的检测到的力的指示。 该方法还包括由计算设备确定所检测的力与计算设备与可由计算设备执行的相应功能相关联的相应输入相匹配。 该方法还包括由计算设备生成并且响应于确定检测到的力与相应的输入匹配，以及基于相应功能的非视觉输出。