公开(公告)号：US11961291B2

公开(公告)日：2024-04-16

申请号：US17528157

申请日：2021-11-16

Applicant: Apple Inc.

Inventor： Lukas A. Bossard ,  Matthias Dantone ,  Pulah J. Shah ,  Wentao Wu ,  Yang Zhao

IPC: G06V20/20 ,  G06F18/40 ,  G06N20/00 ,  G06Q30/0601 ,  G06T11/00 ,  G06V10/25 ,  H04N23/617 ,  H04N23/63 ,  H04N23/80

CPC classification number: G06V20/20 ,  G06F18/40 ,  G06N20/00 ,  G06Q30/0625 ,  G06T11/00 ,  G06V10/25 ,  H04N23/617 ,  H04N23/635 ,  H04N23/80

Abstract: The subject technology provides visual search systems and methods that can be used to efficiently perform visual searches on an electronic device. The subject technology provides systems and methods for presenting one or more visual indicators corresponding to the searchable portions of digital content. A visual search may include identifying, at an electronic device, an element of interest in an image. A visual indicator for the element of interest may be overlaid on the image at a location corresponding to the element of interest. The visual indicator may be selectable to cause a display of information associated with the element of interest responsive to the selection.

公开(公告)号：US12067769B2

公开(公告)日：2024-08-20

申请号：US17581840

申请日：2022-01-21

Applicant: Apple Inc.

Inventor： Lukas A. Bossard ,  Matthias Dantone ,  Samuel F. Dodge

IPC: G06V10/00 ,  G06V10/764 ,  G06V10/98

CPC classification number: G06V10/987 ,  G06V10/764

Abstract: The subject technology provides object recognition systems and methods that can be used to identify objects of interest in an image. An image such as live preview may be generated by a display component of the electronic device and an object of interest may be detected in the image. The detected object of interest may be classified using a classification model. Subsequent to classification, a confidence level in identifying the object of interest may be determined. In response to determining that the confidence level does not meet a confidence level threshold for identifying the object of interest, a request for a user input is generated. Based on the user input, the object of interest is identified using an object recognition model.