Abstract: A platform for interactive sports and movement training is disclosed. The platform allows a trainer to: upload a step-by-step training video for a challenge via a trainer user interface for access by a plurality of trainees; receive videos of individual trainees performing the steps of the training video; provide feedback to the trainees regarding how they can improve their performance associated with each of the steps of the training video; and indicate when a trainee can access a next step in the step-by-step training, until all movements have been mastered. The platform allows a user to access a first step of a step-by-step training video via a user interface; upload a video of the user performing the first step; receive feedback, via the user interface, from a trainer; and when the feedback indicates that the user is ready, access a next step of the training video.

Abstract: Systems and methods are disclosed for creating personalized media content having multiple content layers in “one-click” fashion by selecting a background media template or by using an end-user media composition tool to create or modify a template. For example, the personalized media content can include at least two separate layers, the data of each being stored independently of one another. The two layers may include a background layer including at least one background character and an intermediate layer including an individualized three-dimensional (3D) head model, alignment information, and lighting information. The personalized media content can be displayed by overlaying the background layer using the alignment intermediate layer using the alignment information and the lighting information. In certain examples, template data associated with the background media is created and subsequently used on multiple occasions in generating personalized media content with various 3D head models.

Abstract: Systems and methods are disclosed for performing voice personalization of video content. The personalized media content may include a composition of a background scene having a character, head model data representing an individualized three-dimensional (3D) head model of a user, audio data simulating the user's voice, and a viseme track containing instructions for causing the individualized 3D head model to lip sync the words contained in the audio data. The audio data simulating the user's voice can be generated using a voice transformation process. In certain examples, the audio data is based on a text input or selected by the user (e.g., via a telephone or computer) or a textual dialogue of a background character.

Abstract: Systems and methods are disclosed for creating personalized media content having multiple content layers in “one-click” fashion by selecting a background media template or by using an end-user media composition tool to create or modify a template. For example, the personalized media content can include at least two separate layers, the data of each being stored independently of one another. The two layers may include a background layer including at least one background character and an intermediate layer including an individualized three-dimensional (3D) head model, alignment information, and lighting information. The personalized media content can be displayed by overlaying the background layer using the alignment intermediate layer using the alignment information and the lighting information. In certain examples, template data associated with the background media is created and subsequently used on multiple occasions in generating personalized media content with various 3D head models.

Abstract: Systems and methods are disclosed for performing voice personalization of video content. The personalized media content may include a composition of a background scene having a character, head model data representing an individualized three-dimensional (3D) head model of a user, audio data simulating the user's voice, and a viseme track containing instructions for causing the individualized 3D head model to lip sync the words contained in the audio data. The audio data simulating the user's voice can be generated using a voice transformation process. In certain examples, the audio data is based on a text input or selected by the user (e.g., via a telephone or computer) or a textual dialogue of a background character.

Abstract: Systems and methods are disclosed for creating dynamic interactive advertisements using individualized three-dimensional (3D) human models. The interactive advertisements may be automatically generated based on a user profile associated with the viewer or may be created from an advertisement template by the viewer. Once generated, the viewer can alter the content of the interactive advertisement, make comments, rate the advertisement, and/or share it with others. In certain examples, one or more individualized 3D human head models are automatically selected for inclusion in the interactive advertisement based on the profile or preferences of the user without requiring a user selection of the 3D head model.