Abstract: A media processing engine selectively transcodes only a portion of the media clips to be included in a personalized media program and generates playback data that allows seamless playback of the personalized media program. The media processing engine analyzes initial playback data associated with the media program that indicates the media clips needed to generate the personalized media program. The media processing engine identifies one or more transitions between media clips in the personalized media program and determines specific segments of those media clips that are associated with the identified transition(s). The media processing engine performs transcoding operations with the determined segments of the media clips to generate one or more transition clips. The media processing engine then updates the initial playback data to indicate that the transition clip(s) should be played during the corresponding transition(s) between the associated media clips.

Abstract: According to one exemplary implementation, a system includes a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to receive, from a user device, a request for a non-fungible token (NFT) based on the presence of a user of the user device in a venue, receive sensor data identifying a location of the user device, and obtain camera data from the venue, the camera data depicting at least one of the user of the user device or a field of view of the user relative to the venue. The hardware processor is further configured to execute the software code to mint the NFT, using the sensor data and the camera data, wherein the NFT depicts at least one of a portion of an object situated within the venue or an event occurring at the venue.

Abstract: A system includes a hardware processor and a memory storing software code, the software code is executed to receive an assembly message for a plurality of users including first and second users to assemble at a same physical or virtual location, confirm that the first and second users are present at the same physical or virtual location, verify that each of those users is an owner of a respective NFT related to the assembly message, and generate a smart contract governing minting of variant NFTs. The software is further executed to mint, based on the smart contract, a first variant NFT based on the NFT of the first user and a second variant NFT based on the NFT of the second user, and distribute the first or second variant NFTs to the first user and the other of the first or second variant NFTs to the second user.

Abstract: A system includes a hardware processor and a memory storing software code. The hardware processor is configured to execute the software code to receive a request to track exercises of one or more right(s) associated with a digital asset p using a private key of an endorser of the digital asset, obtain the digital asset including an endorsement in the form of a cryptographically unique identifier referencing a public key corresponding to the private key and associated with a public persona of the endorser, and verify, using the public key, a present ownership of the digital asset. The hardware processor is further configured to execute the software code to track each of the exercises of the right(s), and identify, based on a smart contract governing the exercise(s) of the right(s), a respective fee for each of the exercises of the right(s).

Abstract: A content compilation system includes a computing platform having a hardware processor and a memory storing a software code configured to provide an editorial interface. The hardware processor executes the software code to receive compilation authoring data via the editorial interface, identify one or more end-user(s) for receiving a content compilation, access a consumption profile of the end-user(s), obtain, using the consumption profile and a first authoring criterion in the compilation authoring data, content items from one or more content sources.

Abstract: A content compilation system includes a computing platform having a hardware processor and a memory storing a software code configured to provide an editorial interface. The hardware processor executes the software code to receive compilation authoring data via the editorial interface, identify one or more end-user(s) for receiving a content compilation, access a consumption profile of the end-user(s), obtain, using the consumption profile and a first authoring criterion in the compilation authoring data, content items from one or more content sources.

Abstract: Certain aspects of the present disclosure provide techniques for creating interactive digital experiences for linear content. This includes identifying a plurality of assets relating to presentation of linear content. It further includes generating interactive content using the linear content, including generating an interactive sequence referencing one or more of the plurality of assets and combining the linear content with the interactive sequence on a timeline sequentially describing the linear content. The timeline includes one or more branches relating to the linear content, and selection of a first branch of the one or more branches is based on the interactive sequence. It further includes transmitting the interactive content to a user.

Abstract: A content compilation system includes a computing platform having a hardware processor and a memory storing a software code configured to provide an editorial interface. The hardware processor executes the software code to receive compilation authoring data via the editorial interface, identify one or more end-user(s) for receiving a content compilation, access a consumption profile of the end-user(s), obtain, using the consumption profile and a first authoring criterion in the compilation authoring data, content items from one or more content sources. The software code further aggregates, using a second authoring criterion in the compilation authoring data, the content items into content subsets, groups, using a third authoring criterion, at least some of the content subsets to produce the content compilation.

Abstract: Various embodiments of the invention disclosed herein provide techniques for automatically exposing 3D production assets to an editorial workstation in a content creation pipeline. A production asset management system transmits, to an editorial workstation, a first content library that includes first metadata associated with a 3D production asset that is included in an editorial cut. The first metadata allows a user to see what versions of the 3D production asset are available for incorporation into the editorial cut. The production asset management system retrieves second metadata associated with a second version of the 3D production asset from a production database. The production asset management system retrieves, based on the second metadata, the second version of the 3D production asset from the production database. The production asset management system transmits the second version of the 3D production asset to the editorial workstation for incorporation into the editorial cut.

Abstract: A generative media pipeline automatically creates a personalized media program that is customized to reflect the specific viewing preferences of at least one individual user. The generative media pipeline obtains user data indicating the viewing preferences associated with the user and optionally the viewing context of the user. A recommendation service within the generative media pipeline provides a set of content options that includes various types of media content corresponding to the viewing preferences. A recipe service within the generative media pipeline obtains a recipe that defines the logical structure of the personalized media program. The recipe service populates the recipe by executing one or more video processing functions with some or all media content included in the content options. The recipe service thereby generates a logically structured and polished personalized media program that is individually tailored to reflect the specific preferences of the user.

Abstract: Embodiments provide for improved capture and modification of sensor data. A first performance in a physical environment is recorded, and a first data object is generated, comprising at least a first motion capture element from the first performance, where the first motion capture element includes at least one of (i) body data or (ii) facial data. A request to modify the first data object based on a second data object including motion capture data from a second performance is received, and the first data object is modified by adding, to the first data object, a second motion capture element from the second data object. The modified first data object including the first motion capture element and the second motion capture element is outputted.

Abstract: A computing platform including a processing hardware and a memory storing a software code is coupled to at least first and second workstations and a production asset library. The processing hardware executes the software code to send, from the first workstation, a request identifying a production asset and metadata specification to the second workstation, and receive, from the second workstation, a payload including the production asset and production asset data including preview metadata describing a 3D image of the production asset. The software code further provides the 3D image for display on the first workstation or a third workstation, receives, at the first workstation or the third workstation, a validation input for the production asset, and publishes, in response to receiving the validation input, the production asset data to the production asset library.

Abstract: Various embodiments of the invention disclosed herein provide techniques for automatically displaying and providing electronic feedback about a 3D production asset. A client device executing a software application receives an asset data bundle associated with the 3D production asset. The client device generates a customized user interface based on at least one aspect of the asset data bundle. The client device displays the 3D production asset via the customized user interface. The client device receives an input associated with the 3D production asset via the customized user interface. The client device causes the input to be transmitted to at least one of a media content server and a production database.

Abstract: A generative media pipeline automatically creates a personalized media program that is customized to reflect the specific viewing preferences of at least one individual user. The generative media pipeline obtains user data indicating the viewing preferences associated with the user and optionally the viewing context of the user. A recommendation service within the generative media pipeline provides a set of content options that includes various types of media content corresponding to the viewing preferences. A recipe service within the generative media pipeline obtains a recipe that defines the logical structure of the personalized media program. The recipe service populates the recipe by executing one or more video processing functions with some or all media content included in the content options. The recipe service thereby generates a logically structured and polished personalized media program that is individually tailored to reflect the specific preferences of the user.

Abstract: A media processing engine selectively transcodes only a portion of the media clips to be included in a personalized media program and generates playback data that allows seamless playback of the personalized media program. The media processing engine analyzes initial playback data associated with the media program that indicates the media clips needed to generate the personalized media program. The media processing engine identifies one or more transitions between media clips in the personalized media program and determines specific segments of those media clips that are associated with the identified transition(s). The media processing engine performs transcoding operations with the determined segments of the media clips to generate one or more transition clips. The media processing engine then updates the initial playback data to indicate that the transition clip(s) should be played during the corresponding transition(s) between the associated media clips.

Abstract: Various embodiments of the invention disclosed herein provide techniques for automatically exposing 3D production assets to an editorial workstation in a content creation pipeline. A production asset management system transmits, to an editorial workstation, a first content library that includes first metadata associated with a 3D production asset that is included in an editorial cut. The first metadata allows a user to see what versions of the 3D production asset are available for incorporation into the editorial cut. The production asset management system retrieves second metadata associated with a second version of the 3D production asset from a production database. The production asset management system retrieves, based on the second metadata, the second version of the 3D production asset from the production database. The production asset management system transmits the second version of the 3D production asset to the editorial workstation for incorporation into the editorial cut.

Abstract: Various embodiments of the invention disclosed herein provide techniques for automatically displaying and providing electronic feedback about a 3D production asset. A client device executing a software application receives an asset data bundle associated with the 3D production asset. The client device generates a customized user interface based on at least one aspect of the asset data bundle. The client device displays the 3D production asset via the customized user interface. The client device receives an input associated with the 3D production asset via the customized user interface. The client device causes the input to be transmitted to at least one of a media content server and a production database.