公开(公告)号：US09620168B1

公开(公告)日：2017-04-11

申请号：US14976192

申请日：2015-12-21

Applicant: Amazon Technologies, Inc.

Inventor： Matthew Alan Townsend ,  Moshe Bouhnik ,  Konstantin Kraimer ,  Eduard Oks

IPC: H04N9/80 ,  G11B27/02 ,  G06K9/00 ,  G06K9/46 ,  G06T7/40 ,  G06K9/52 ,  G06T7/60 ,  H04N5/262 ,  G06K9/62 ,  G06T7/00

CPC classification number: G11B27/02 ,  G06K9/00268 ,  G06K9/00671 ,  G06K9/00751 ,  G06K9/4642 ,  G06K9/4652 ,  G06K9/52 ,  G06K9/6201 ,  G06K2009/4666 ,  G06T7/60 ,  G06T2207/30168 ,  H04N5/23238 ,  H04N5/2628

Abstract: A system and method for determining video clips including interesting content from video data. The system may receive annotation data identifying time and positions corresponding to objects represented in the video data and the system may determine priority metrics associated with each of the objects. By associating the priority metrics with the time and positions corresponding to the objects, the system may generate a priority metric map indicating a time and position of interesting moments in the video data. The system may generate moments and/or video clips based on the priority metric map. The system may determine a time (e.g., video frames) and/or space (e.g., pixel coordinates) associated with the moments/video clips and may simulate camera motion such as panning and/or zooming with the moments/video clips. The system may generate a Master Clip Table including the moments, video clips and/or annotation data associated with the moments/video clips.

公开(公告)号：US10580453B1

公开(公告)日：2020-03-03

申请号：US15479489

申请日：2017-04-05

Applicant: Amazon Technologies, Inc.

Inventor： Matthew Alan Townsend ,  Moshe Bouhnik ,  Konstantin Kraimer ,  Eduard Oks

IPC: G11B27/02 ,  H04N5/262 ,  G06K9/00 ,  G06K9/62 ,  G06T7/60 ,  G06K9/52 ,  G06K9/46 ,  G06T7/90 ,  G06T7/73 ,  H04N5/232

Abstract: A system and method for determining video clips including interesting content from video data. The system may receive annotation data identifying time and positions corresponding to objects represented in the video data and the system may determine priority metrics associated with each of the objects. By associating the priority metrics with the time and positions corresponding to the objects, the system may generate a priority metric map indicating a time and position of interesting moments in the video data. The system may generate moments and/or video clips based on the priority metric map. The system may determine a time (e.g., video frames) and/or space (e.g., pixel coordinates) associated with the moments/video clips and may simulate camera motion such as panning and/or zooming with the moments/video clips. The system may generate a Master Clip Table including the moments, video clips and/or annotation data associated with the moments/video clips.