Storytelling Engine for Automated Media Product Generation
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Solution Overview
Problem
The challenge lies in organizing and creating custom media content for guests at venues like theme parks, where large volumes of disorganized photos and videos are generated, and existing editing tools fail to utilize knowledge about the media content or subjects to vary story arcs effectively.
Innovation Solution
The system employs authoring tools and automated workflow mechanisms to create story templates with multiple story arcs, combining raw media content with stock content, and using rule sets to generate customized media products tailored to individual guests or groups, incorporating captured and rendered media, music, and animations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional photo/video capture methods are used at venues, then media content can be obtained, but the media content becomes disorganized and difficult to utilize
Solution Approach 1:
The system segments media content into distinct categories (custom media content captured at the venue, stock media content from libraries, rendered media content generated from custom content) and organizes them into structured story arcs. This segmentation allows the large volume of disorganized media to be systematically categorized and assembled into coherent personalized stories.
Solution Approach 2:
The system introduces story templates as intermediary structures that mediate between the raw media content and the final personalized output. These templates provide organizational frameworks that transform disorganized media into structured narratives, solving the problem of how to utilize large volumes of unorganized content.
2Adaptability or versatility
If existing editing tools are used, then media content can be edited, but they fail to utilize knowledge about media content or subjects to vary story arcs
Solution Approach 1:
The system performs preliminary action by pre-defining story templates and story arcs during the authoring phase. These templates are created in advance with structured narratives that can be automatically instantiated, eliminating the need for complex real-time editing operations and reducing the complexity of personalization.
Solution Approach 2:
The system varies story arcs by changing parameters such as narrative structure, media selection criteria, and content arrangement based on guest profiles and experience data. This allows personalized media products to be generated by modifying template parameters rather than creating entirely new content, reducing system complexity.
3Productivity
If automated workflow mechanisms are implemented, then media products can be generated efficiently, but the system complexity increases
Solution Approach 1:
The automated workflow system performs self-service by automatically selecting media content, assembling story arcs, and generating personalized media products without requiring manual intervention. The system uses its own internal rules and templates to process media content, dramatically increasing productivity while the automation itself manages the complexity.
Data Source
AI summary
Systems and associated methods for generating custom media products along various story arcs are described. The story arcs correspond to sub-themes for organizing media content within a larger theme, or story, into a custom media product. The media content can include stock media content, guest-specific or custom media content, which can include rendered content. Embodiments utilize authoring tools and automated workflow mechanisms to take various forms of raw media content and create customized media products for individual guests or groups of guests.