Apple Inc.

Kevin Bessiere

Eric Circlaeys

Benedikt M Hirmer

Kevin Aujoulet

Guillaume Vergnaud

Killian Huyghe

Alan C Dye

Graham R Clarke

Andre Souza Dos Santos

William A Sorrentino, Iii

Behkish J Manzari

Lynne Devine

Nicole R Ryan

Justin S Titi

Gregg S Suzuki

Simon Bovet

Eric M G Circlaeys

Andreas J Karlsson

Matthieu Lucas

Patrick H Kelly

Sergey Tatarchuk

Vignesh Jagadeesh

Krishna M Behara

Daniel Cartoon

Eric M Circlaeys

Sabrine Rekik

Zachary H Smith

Betim Deva

Chelsea J Leblanc

Matthias Mauch

Christopher C Foster

Nathaniel B Chapman

Michael S Smochko

Shanni A Weilert

Elliot C Liskin

Bruno J Conejo

Kartheekeya D Kasibatta

Lee A Morgan

Benedikt Hirmer

Samantha E Fierro

Alexandre N Lopoukhine

Rohan Chandra

Chelsea L Burnette

Brian J Rogosky

Joy Hsu

Alfredo Ramos-Alvarez

Bruno Di Giorgi

Jeremy P Bogle

Hao Yang

Neil C Foley

Menelaos D Kokolios

Lewis Kaneshiro

Jorge A Herrera Soto

James E Hewitt

Casey W Baker

Alexis H Durocher

Trevor M Slaton

Cristina N Smith

Alexa Rockwell

Techniques for suggesting media assets, the technique including: requesting a set of candidate media assets for a set of user media items based on a knowledge graph metadata network describing the set of user media items; receiving metadata for the set of candidate media assets; determining one or more sets of ranked media assets based on the received metadata; and outputting the determined one or more sets of ranked media assets.

Automatic media asset suggestions for presentations of selected user media items

Embodiments of the present disclosure present devices, methods, and computer readable medium for disambiguating clustered location identifiers. A location identifier can be the name of a business or establishment. Digital assets contain a plurality of metadata that can be used to identify the location or establishment at which digital assets were captured. Techniques can use various types contextual information based on a category of the digital asset for disambiguation. Automatically labelling the digital assets assists a user in organizing and sharing the digital assets with friends and family. Users can search for digital assets by the name of the location where the digital assets were captured.

Techniques for disambiguating clustered location identifiers

Systems, methods, and computer-readable media for defining a collection of media content items of a media library for a relevant interest are provided.

Defining a collection of media content items for a relevant interest

The present disclosure generally relates to navigating a collection of media items. In accordance with one embodiment, in response to receiving an input, a device displays a first view of a collection of media items, including concurrently displaying a representation of a first time period and a representation of a second time period. In accordance with a determination that a current time is associated with a first recurring temporal event: the representation of the first time period includes a first representative media item and the representation of the second time period includes a second representative media item. In accordance with a determination that the current time is associated with a second recurring temporal event, the representation of the first time period includes a third representative media item and the representation of the second time period includes a fourth representative media item.

Media browsing user interface with intelligently selected representative media items

In some implementations, a computing device may generate a day view, month views, and year view that show cards specific to each view. The cards include images, videos, and/or other assets from a media library that reflect a corresponding time frame of the card on which the assets are displayed. A selected view is presented in a graphical user interface (GUI) for interaction with a user of the media library. Upon selection of an asset displayed to the GUI, the view is switched to show more assets from a time frame similar to the selected asset while maintaining a focus on the selected asset.

Curated media library

Embodiments of the present disclosure present devices, methods, and computer readable medium for presenting a user interface that allows a user to quickly and easily filter and search a digital asset collection. The disclosed techniques allow for rapid recall of desired digital assets, linking assets into logical collections, and an overall improved user experience. The zero keyword/contextual keyword feature presents multimedia content icons and searchable keywords to allow a user to search the digital asset collection simply by tapping on one of these keywords. The top auto completion feature auto-completes suggestions in the search field based on various heuristics to ensure the method produces diverse and relevant results. The next keyword suggestion feature predicts a next search term based on learned properties about the digital asset collection.

Digital asset search user interface

A memory management system which can effectively determine whether, when, and to what extent, to modify a graph database based on changes in a paired relational database storing various data like media assets, such as photos and videos. The media assets are associated with data objects, such as moments, events, and people. The memory management system also includes one or more knowledge graph metadata networks (or more simply 'knowledge graphs'). The knowledge graph(s) store information which is related to the data stored by the relational databases. The memory management system detects changes in the data and data objects stored by the relational database(s). The memory management system can translate detected changes into modification instructions for the knowledge graph. The memory management system can also determine that it is unnecessary to modify the knowledge graph due to a detected change.

Smart updates from historical database changes

Systems, methods, and computer-readable media for reducing a number of unverified persons detected in media content are provided.

Reduction of unverified entity identities in a media library

Embodiments of the present disclosure present devices, methods, and computer readable medium for disambiguating clustered occurrence identifiers. Digital assets contain a plurality of metadata that can be used to identify the occurrence or event during which the digital asset was captured. Techniques can use various types contextual information based on a category of the digital asset for disambiguation. Events can occur at various locations, over a dispersed area and it can be challenging to automatically identify and label the digital assets with the identification of the event. Automatically labelling the digital assets assists user in organizing and sharing the digital assets with friends and family. Users can search for events by event name, performer name, and category.

Techniques for disambiguating clustered occurrence identifiers

Techniques of generating a knowledge graph metadata network (metadata network) for digital asset management (DAM) are described. A DAM logic/module can obtain one or more first metadata assets describing characteristics associated with digital assets (DAs) in the DA collection. The DAM logic/module can also determine second metadata asset(s) and third metadata asset(s) describing characteristics associated with DAs in the DA collection based on the first metadata asset(s). The DAM logic/module can generate at least some of the metadata assets as nodes in a metadata network associated with the DA collection. The DAM logic/module can also determine, for at least two of the metadata assets, a correlation between the at least two metadata assets. The DAM logic/module can generate an edge in the metadata network between the nodes that represent the at least two metadata assets to represent the determined correlation.

Knowledge graph metadata network based on notable moments

Growing community of inventors

Cupertino, CA, United States of America

Kevin Bessiere