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公开(公告)号：US20190356851A1
公开(公告)日：2019-11-21
申请号：US16412778
申请日：2019-05-15
Applicant: GoPro, Inc.
Inventor： Shishir Rao Ayalasomayajula , Ravi Kumar Belagutti Shivanandappa , Anandhakumar Chinnaiyan
Abstract: Cameras may monitor its operation and automatically switch between operation modes thereby to best capture users' experiences. Auxiliary sensor data collected by the one or more sensors and/or captured image data may be analyzed to determine when a camera should switch to a high-motion operation mode. The auxiliary sensor data include motion information of the camera and the content of the captured images include motion information of the captured objects. When a camera or objects captured by the camera are moving rapidly, the camera is switched to operate at the high-motion operation mode to ensure image quality and minimize artifacts to best capture users' experiences. Motion of the camera may be detected or predicted by analyzing the auxiliary sensor data and motion of the captured objects may be detected by analyzing the captured image data thereby to determine whether or not the camera should switch to the high-motion operation mode.
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公开(公告)号：US10306145B2
公开(公告)日：2019-05-28
申请号：US16043627
申请日：2018-07-24
Applicant: GoPro, Inc.
Inventor： Shishir Rao Ayalasomayajula , Ravi Kumar Belagutti Shivanandappa , Anandhakumar Chinnaiyan
Abstract: Cameras may monitor its operation and automatically switch between operation modes thereby to best capture users' experiences. Auxiliary sensor data collected by the one or more sensors and/or captured image data may be analyzed to determine when a camera should switch to a high-motion operation mode. The auxiliary sensor data include motion information of the camera and the content of the captured images include motion information of the captured objects. When a camera or objects captured by the camera are moving rapidly, the camera is switched to operate at the high-motion operation mode to ensure image quality and minimize artifacts to best capture users' experiences. Motion of the camera may be detected or predicted by analyzing the auxiliary sensor data and motion of the captured objects may be detected by analyzing the captured image data thereby to determine whether or not the camera should switch to the high-motion operation mode.
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公开(公告)号：US20180332225A1
公开(公告)日：2018-11-15
申请号：US16043627
申请日：2018-07-24
Applicant: GoPro, Inc.
Inventor： Shishir Rao Ayalasomayajula , Ravi Kumar Belagutti Shivanandappa , Anandhakumar Chinnaiyan
CPC classification number: H04N5/23245 , G06T7/20 , H04N5/23216 , H04N5/23222 , H04N5/23248 , H04N5/23254 , H04N5/343 , H04N5/353 , H04N5/357 , H04N5/772 , H04N5/783 , H04N9/8211
Abstract: Cameras may monitor its operation and automatically switch between operation modes thereby to best capture users' experiences. Auxiliary sensor data collected by the one or more sensors and/or captured image data may be analyzed to determine when a camera should switch to a high-motion operation mode. The auxiliary sensor data include motion information of the camera and the content of the captured images include motion information of the captured objects. When a camera or objects captured by the camera are moving rapidly, the camera is switched to operate at the high-motion operation mode to ensure image quality and minimize artifacts to best capture users' experiences. Motion of the camera may be detected or predicted by analyzing the auxiliary sensor data and motion of the captured objects may be detected by analyzing the captured image data thereby to determine whether or not the camera should switch to the high-motion operation mode.
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公开(公告)号：US20160292511A1
公开(公告)日：2016-10-06
申请号：US14675552
申请日：2015-03-31
Applicant: GoPro, Inc.
Inventor： Shishir Rao Ayalasomayajula , Anandhakumar Chinnaiyan , Ravi Kumar Belagutti Shivanandappa
CPC classification number: G06K9/00751 , G06K9/00369 , G06K9/00771 , G06K2009/00738 , G11B27/034 , G11B27/036 , G11B27/105 , G11B27/28 , G11B27/3036 , G11B27/3081 , G11B27/34
Abstract: Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.
Abstract translation: 访问视频和相应的元数据。 基于相应的元数据来识别视频内感兴趣的事件，并且基于所识别的感兴趣的事件来识别最佳场景。 可以生成包括所识别的最佳场景中的一个或多个的视频摘要。 视频摘要可以使用具有与从候选视频剪辑的集合中选择的视频片段相对应的时隙的视频摘要模板生成。 也可以通过在捕获视频期间从用户接收来自用户的视频内感兴趣的事件的指示来识别最佳场景。 可以在其他视频中识别表示视频剪辑中识别的活动的元数据模式，随后可以与所识别的活动相关联。
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