H04N21/80

METHOD AND SYSTEM FOR ENHANCING MEDIA PRODUCTION
20250245594 · 2025-07-31 ·

Provided are computer-implemented technologies for facilitating the planning, development, creation, and execution of a media asset or audiovisual content (such as but not limited to a motion picture or portions thereof) within a single integrated intelligent platform/environment, orchestrated via network-connected storage devices, and advanced via artificial intelligence (AI) assistance, machine learning, technology-augmentation, and overall re-imagined and optimized workflows to improve the efficiency, accuracy, and effectiveness of media production.

Content distribution server

A content distribution server that can provide a content editing function for streaming distribution at a low cost without any physical constraints is provided. Streamer videos from a plurality of streamer terminals are received via a network and stored temporarily in a buffer unit. The plurality of streamer videos in the buffer unit are synthesized to generate an edit screen, which is transmitted to the editor terminal connected via the network. An editor performs an edit operation such as switching selection of the streamer videos, an instruction on screen configuration, and caption input on the edit screen, and transmits the edit operation as edit information from the editing terminal to the content distribution server. The content distribution server generates streaming content from the streamer videos in the buffer unit based on the edit information and distributes the streaming content to a viewer terminal.

Content distribution server

A content distribution server that can provide a content editing function for streaming distribution at a low cost without any physical constraints is provided. Streamer videos from a plurality of streamer terminals are received via a network and stored temporarily in a buffer unit. The plurality of streamer videos in the buffer unit are synthesized to generate an edit screen, which is transmitted to the editor terminal connected via the network. An editor performs an edit operation such as switching selection of the streamer videos, an instruction on screen configuration, and caption input on the edit screen, and transmits the edit operation as edit information from the editing terminal to the content distribution server. The content distribution server generates streaming content from the streamer videos in the buffer unit based on the edit information and distributes the streaming content to a viewer terminal.

Artificial Intelligence System for Personalized and Synthetic Adult Content Generation with Real-Time Consent and Dynamic Content Customization
20250310617 · 2025-10-02 ·

A system and method for automatically generating customized adult content that conforms to content provider determined settings and incorporates a digital likeness of a content provider. The adult content generation system comprises a content consumer system which has an artificial intelligence system. The adult generation system has a content provider system with a dynamic consent management subsystem and content provider determined settings that determine how a digital likeness is used. The content generation subsystem receives input from a content consumer with parameters for generating adult content. The input is analyzed for compliance with content provider determined settings. The artificial intelligence system then creates and displays the customized adult content to the content consumer. The customized adult content conforms with both the input parameters and the content provider determined settings.

Artificial Intelligence System for Personalized and Synthetic Adult Content Generation with Real-Time Consent and Dynamic Content Customization
20250310617 · 2025-10-02 ·

A system and method for automatically generating customized adult content that conforms to content provider determined settings and incorporates a digital likeness of a content provider. The adult content generation system comprises a content consumer system which has an artificial intelligence system. The adult generation system has a content provider system with a dynamic consent management subsystem and content provider determined settings that determine how a digital likeness is used. The content generation subsystem receives input from a content consumer with parameters for generating adult content. The input is analyzed for compliance with content provider determined settings. The artificial intelligence system then creates and displays the customized adult content to the content consumer. The customized adult content conforms with both the input parameters and the content provider determined settings.

Digital story generation

A digital story includes textual, visual, and/or audio aspects. Generation of a new digital story and/or editing of an existing digital story can include, for instance, coordinating presentation of textual, visual, and/or audio aspects of the digital story. A digital story can be viewed and/or accessed by a user remote from one or more authors of the digital story.

Digital story generation

A digital story includes textual, visual, and/or audio aspects. Generation of a new digital story and/or editing of an existing digital story can include, for instance, coordinating presentation of textual, visual, and/or audio aspects of the digital story. A digital story can be viewed and/or accessed by a user remote from one or more authors of the digital story.

CONTENT DISTRIBUTION SERVER
20250350812 · 2025-11-13 ·

A content distribution server that can provide a content editing function for streaming distribution at a low cost without any physical constraints is provided. Streamer videos from a plurality of streamer terminals are received via a network and stored temporarily in a buffer unit. The plurality of streamer videos in the buffer unit are synthesized to generate an edit screen, which is transmitted to the editor terminal connected via the network. An editor performs an edit operation such as switching selection of the streamer videos, an instruction on screen configuration, and caption input on the edit screen, and transmits the edit operation as edit information from the editing terminal to the content distribution server. The content distribution server generates streaming content from the streamer videos in the buffer unit based on the edit information and distributes the streaming content to a viewer terminal.

CONTENT DISTRIBUTION SERVER
20250350812 · 2025-11-13 ·

A content distribution server that can provide a content editing function for streaming distribution at a low cost without any physical constraints is provided. Streamer videos from a plurality of streamer terminals are received via a network and stored temporarily in a buffer unit. The plurality of streamer videos in the buffer unit are synthesized to generate an edit screen, which is transmitted to the editor terminal connected via the network. An editor performs an edit operation such as switching selection of the streamer videos, an instruction on screen configuration, and caption input on the edit screen, and transmits the edit operation as edit information from the editing terminal to the content distribution server. The content distribution server generates streaming content from the streamer videos in the buffer unit based on the edit information and distributes the streaming content to a viewer terminal.

MACHINE LEARNING-BASED CUSTOM CONTENT GENERATION FOR VIDEO STREAMING CONTENT SYSTEMS AND APPLICATIONS
20250380034 · 2025-12-11 ·

In various embodiments, machine learning-based custom content generation for video streaming content systems and applications is provided. One or more of the embodiments described herein, among other things, provide for a machine learning/generative artificial intelligence (GAI)-based custom video generator model that may be used to synthesize targeted video streaming content (e.g., in real-time), based at least in part on user profile data from a user profile associated with a target user, and content data comprising an indication of one or more video content objectives directed at the target user. In some embodiments, a custom video content generator as disclosed herein may produce one or more prompts based on a set of content data and the user profile data, and apply the prompts to the video generator model to generate targeted video data that may be streamed to user equipment for presentation to the target user.