Abstract: This disclosure relates to systems and methods related to smart sharing options for a shared digital asset (DA) library. An example method performed by a system includes: initiating a camera session; identifying a sharable DA trigger; capturing a DA during the camera session after identifying the sharable DA trigger; and selecting the captured DA for the shared DA library based on the identified sharable DA trigger.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: This disclosure relates to systems, methods, and computer-readable media for identifying digital assets on the end-user device and received from another device as the secondary digital assets; adding the secondary digital assets to a syndication library separate from the primary photo library; and applying eligibility filters to the secondary digital assets in the syndication library, the eligibility filters resulting in a set of eligible secondary digital assets in the syndication library and a set of ineligible secondary digital assets in the syndication library. The set of eligible secondary digital assets in the syndication library are linked with the primary photo library.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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

Abstract: 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.

Abstract: 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.

Abstract: Techniques of digital asset management (DAM) are described. A DAM system can obtain a knowledge graph metadata network describing relationships between metadata associated with a user's collection of digital assets (DAs), e.g., images, videos, music, etc. Based on information obtained, e.g., from the user's DA collection and/or the knowledge graph metadata network, the DAM system may provide users with more intelligent (and automated) DA sharing suggestions that are as relevant as possible for a given context. In some embodiments, the sharing suggestions may be based on one or more DAs recently shared with the user from a third party. In other embodiments, a proactive sharing suggestion may be presented to a user based on a detected indication of an intent to share DAs, e.g., based on the extraction of relevant features from an incoming message from a third party (or an outgoing message from the user to a third party).

Abstract: 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.

Abstract: 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.

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

Abstract: 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.

Abstract: Techniques of relating at least two digital assets based on digital asset management (DAM) are described. A DAM logic/module can obtain a knowledge graph metadata network (metadata network) of metadata associated with a collection of digital assets (DA collection). The metadata network comprises correlated metadata assets. Each metadata asset is represented a node in the metadata network. A correlation between metadata assets is represented as an edge in the metadata network. The DAM logic/module can select a first metadata asset using the metadata network. The DAM logic/module can also determine that the first metadata asset is associated with a second metadata asset. The DAM logic/module can identify a third metadata asset based on at least one of the first metadata asset or the second metadata asset. The DAM logic/module can cause one or more DAs associated with the third metadata asset to be presented via an output device.

Abstract: Techniques of digital asset management (DAM) are described. A DAM logic/module can obtain a knowledge graph metadata network (metadata network) of metadata associated with a collection of digital assets (DA collection). The metadata network can comprise correlated metadata assets describing characteristics associated with digital assets (DAs) in the DA collection. Each metadata asset can be represented as a node in the metadata network. Each correlation between two metadata assets can be represented in the metadata network as an edge between the nodes representing the two metadata assets. The DAM logic/module can identify a first metadata asset using the metadata network. The DAM logic/module can also identify a second metadata asset based at least on the first metadata asset. Furthermore, the DAM logic/module can cause one or more DAs associated with at least one of the first or second metadata assets to be presented via an output device.