Automated Scene Reconfiguration Based on Timing and Content
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Solution Overview
Problem
Animators and editors face the time-consuming task of manually reviewing and editing scenes to elongate or shorten events, which can be inefficient and labor-intensive.
Innovation Solution
A system that automatically analyzes scene information to identify effectual and ineffectual content, generating a draft scene with an edited event duration based on a prospective event duration, thereby reducing the need for manual editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If manual review and editing of scenes is performed, then scene duration can be adjusted, but production time increases
Solution Approach 1:
The system enables automatic scene editing where the software itself performs the analysis and modification of scene duration without requiring manual human intervention. The system analyzes scene information, identifies effectual and ineffectual content, and automatically generates edited scenes with adjusted durations, allowing the editing process to serve itself rather than requiring continuous human oversight.
Solution Approach 2:
The system changes the duration parameter of scenes automatically by analyzing scene content and adjusting the timing parameters. It modifies event durations within scenes by identifying which content should be retained or removed based on effectuality analysis, thereby changing the temporal parameters of the scene without manual intervention.
2Duration of action of moving object
If manual editing of scenes is performed, then event duration can be modified, but labor intensity increases
Solution Approach 1:
The system replaces the mechanical manual editing process with an automated computational system. Instead of manually reviewing and cutting scene portions, the system uses automated analysis components that process scene information, identify effectual content, and generate edited scenes algorithmically, substituting human manual labor with automated mechanical processes.
Solution Approach 2:
The system extracts and separates effectual content from ineffectual content within scenes through automated analysis. It identifies and extracts only the necessary content that contributes to the event's purpose, removing redundant or ineffectual portions automatically, thereby streamlining the editing process and improving productivity.
3Productivity
If automatic scene analysis is performed, then editing speed increases, but system complexity increases
Solution Approach 1:
The system segments the scene analysis and editing process into distinct functional components: information obtaining, analysis, and draft scene generating. Each component handles a specific aspect of the editing task, allowing the complex overall process to be broken down into manageable, specialized modules that can be processed independently and efficiently.
Solution Approach 2:
The system introduces an intermediary analysis component that acts as a mediator between the raw scene information and the final edited output. This intermediary layer performs the complex analysis of effectual versus ineffectual content, translating raw scene data into structured information that can be automatically edited, thereby managing system complexity through intermediate processing stages.
Data Source
AI summary
Systems and methods to reconfigure a scene based on timing and scene content are disclosed. Exemplary implementations may: obtain scene information defines a scene in which an event transpires; analyze the scene information that defines the event to identify effectual content and ineffectual content related to the event within the unedited event duration; and generate, based on the scene information and the analysis, a draft scene that includes an edited event comprising the effectual content from an edited event beginning to an edited event end in accordance with the prospective event duration.