Disney Enterprises, Inc.

Adam D Eivy

Katharine S Navarre

Dionysius Mavromatis

Jason E Lewis

Sujal Shah

Ricky Kane Stapler

Charles V Pritchard

According to one exemplary implementation, a system includes a hardware processor and a system memory storing software code, the hardware processor is configured to execute the software code to provide a non-fungible token (NFT) for transfer of a right to the NFT, the NFT minted to include first metadata providing a historical rights record of the NFT, the historical rights record identifying a present owner of the right to the NFT. The hardware processor is further configured to execute the software code to receive transfer data relating to the transfer of the right to the NFT by the present owner to a new owner of the right to the NFT, re-mint the NFT to further include second metadata relating to the transfer data in the historical rights record, the second metadata identifying the new owner, and deliver the re-minted NFT, including the first and second metadata, to the new owner.

Enabling deep historical data use via NFT re-minting

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, computes a desirability score predicting the desirability of the content compilation to the end-user(s), and provides, when the desirability score satisfies a predetermined threshold, the content compilation to the end-user(s).

Curating narrative experiences through automated content compilation

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.

Generating media programs configured for seamless playback

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.

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Vashon, WA, United States of America

Adam D Eivy