Apple Inc.

Matthias Dantone

Elizabeth Caroline Cranfill

Craig Michael Federighi

Andre Souza Dos Santos

Grant R Paul

Nathan De Vries

Steven D Baker

Ryan S Dixon

Johnnie B Manzari

Srinivasan Venkatachary

Vignesh Jagadeesh

Marco Zuliani

James Nicholas Jones

Matthias Paulik

Viktor Miladinov

Neil Gareth Crane

Jeffrey A Brasket

Vincent M Lane

Brandon J Corey

Vinay Sharma

Xin Wang

Guillaume Borios

Nicholas D Lupinetti

Kellie L Albert

Pulah J Shah

Kayur Dushyant Patel

Yang Zhao

Thomas Deselaers

Ron C Santos

Chen Ye

Aya Siblini

Lukas A Bossard

Ngoc Hong Pham

Sebastien V Marineau-mes

Xishuo Liu

Francisco Alvaro Munoz

Wentao Wu

Samuel F Dodge

Rajen Chatterjee

Amittai Axelrod

Jennifer Pon Chen

Sebastien V Marineau-Mes

Guangyu Zhong

Adam Huff Bradford

Mallika Priya Khullar

The present disclosure generally relates to methods and user interfaces for managing visual content at a computer system. In some embodiments, methods and user interfaces for managing visual content in media are described. In some embodiments, methods and user interfaces for managing visual indicators for visual content in media are described. In some embodiments, methods and user interfaces for inserting visual content in media are described. In some embodiments, methods and user interfaces for identifying visual content in media are described. In some embodiments, methods and user interfaces for translating visual content in media are described. In some embodiments, methods and user interfaces for translating visual content in media are described. In some embodiments, methods and user interfaces for managing user interface objects for visual content in media are described.

User interfaces for managing visual content in media

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.

Object recognition

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.

Visual search for electronic devices

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Cupertino, CA, United States of America

Matthias Dantone