公开(公告)号：US11895409B2

公开(公告)日：2024-02-06

申请号：US17158917

申请日：2021-01-26

申请人： QUALCOMM Incorporated

发明人： Eran Pinhasov ,  Scott Cheng ,  Eran Scharam ,  Anatoly Gurevich

IPC分类号： H04N23/61 ,  H04N23/80 ,  G06V20/10 ,  G06V20/00 ,  H04N1/60 ,  G06V10/10 ,  H04N23/66 ,  H04N23/70 ,  H04N101/00 ,  H04N23/88

CPC分类号： H04N23/80 ,  G06V10/10 ,  G06V20/10 ,  G06V20/35 ,  H04N1/6072 ,  H04N1/6083 ,  H04N23/61 ,  H04N23/66 ,  H04N23/70 ,  H04N23/88 ,  H04N2101/00

摘要： Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.

公开(公告)号：US11277562B2

公开(公告)日：2022-03-15

申请号：US16995546

申请日：2020-08-17

申请人： QUALCOMM Incorporated

发明人： Young Hoon Kang ,  Hee Jun Park ,  Tauseef Kazi ,  Ron Gaizman ,  Eran Pinhasov ,  Meir Tzur

IPC分类号： H04N5/232 ,  G06N3/08

摘要： Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.

公开(公告)号：US10771698B2

公开(公告)日：2020-09-08

申请号：US16120037

申请日：2018-08-31

申请人： QUALCOMM Incorporated

发明人： Young Hoon Kang ,  Hee Jun Park ,  Tauseef Kazi ,  Ron Gaizman ,  Eran Pinhasov ,  Meir Tzur

IPC分类号： H04N5/232 ,  G06N3/08

摘要： Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.