ML Storyboard and Video Editing Workflow Integration
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Solution Overview
Problem
Existing content production tools are limited in their capacity to facilitate workflow between different participants in video production, lacking a unified tool that understands the complete video production process and creative tasks, leading to inefficiencies and increased costs.
Innovation Solution
A platform that includes a storyboard component, director component, and editor component, utilizing machine-learning models to segment videos, determine attributes, and generate videos, enabling efficient video generation with automated workflows and reduced costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional content production tools are used, then human creators can produce content, but the workflow between different tools and participants is limited and inefficient
Solution Approach 1:
The patent combines multiple separate content production tools (video segmentation, storyboard generation, attribute determination, video selection, and editing) into a single integrated platform. This unified system allows different participants and tools to work together seamlessly, resolving the workflow integration complexity while improving overall video production efficiency.
Solution Approach 2:
The platform performs multiple functions within a single system: it segments videos, generates storyboards, determines video attributes, selects appropriate video clips, and performs automated editing. This multi-functionality eliminates the need for separate specialized tools, reducing workflow complexity while enhancing productivity.
2Productivity
If automated machine-learning models are used for video generation, then productivity increases, but the extent of automation may reduce creative control
Solution Approach 1:
The system employs machine-learning models that automatically perform video segmentation, storyboard generation, attribute determination, and video selection without requiring constant human intervention. This self-service capability accelerates video production while maintaining creative direction through the integrated platform's coordinated operations.
3Reliability
If multiple separate tools are used for different video production tasks, then specific tasks can be performed with specialized tools, but the overall process becomes more complex and costly
Solution Approach 1:
The patent integrates multiple specialized video production tools into a single unified platform that handles segmentation, storyboard generation, attribute analysis, video selection, and editing. This consolidation maintains the specialized capabilities of each function while eliminating the complexity and cost of managing multiple separate tools.
Solution Approach 2:
The unified platform performs diverse video production functions within a single system, providing both specialized task execution and integrated workflow management. This multi-functionality ensures high-quality task execution while reducing the overall number of tools required.
Data Source
AI summary
Features described herein generally relate to content production. Particularly, the present disclosure relates to facilitating video generation. Using machine-learning models, a storyboard can be generated from an inspirational video, video attributes can be determined for the storyboard, editing scores and actions can be determined for candidate videos, candidate videos can be edited based on the editing scores and actions, and the edited candidate videos can be combined to generate a video.