Video Rule Engine for Automated Editing
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Solution Overview
Problem
The challenge lies in efficiently editing and processing lengthy video data captured by electronic devices, which often goes unedited due to the time and commitment required for manual selection and editing, especially when the videos have a wide field of view and aspect ratio greater than 2:1.
Innovation Solution
A system that uses a rule engine to automatically select and generate output types and apply themes to video data by analyzing annotation data, determining if conditions are met, and performing actions such as generating video summarizations, photo albums, or time lapses based on predefined rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection and editing of video data is performed, then output quality can be controlled, but time consumption and effort increase significantly
Solution Approach 1:
The system performs self-service by automatically analyzing video data, selecting relevant clips, and generating edited outputs without requiring manual user intervention. The rule engine autonomously processes video data to create summaries, photo albums, and time-lapses based on predefined conditions and themes.
Solution Approach 2:
The patent replaces the mechanical manual editing process with an automated computational system. Instead of manual selection and editing operations, a rule engine with annotation data processing automatically performs the video editing tasks, substituting human labor with algorithmic processing.
2Productivity
If automated processing is applied to video data, then time consumption is reduced, but complexity of the processing system increases
Solution Approach 1:
The system segments the video processing task into distinct components: annotation data generation, rule evaluation, and output generation. This segmentation allows each component to be developed and optimized independently, managing overall system complexity while maintaining high productivity.
Solution Approach 2:
The patent uses parameter changes by modifying video data parameters (such as aspect ratio, field of view, duration) to determine which outputs to generate. The rule engine evaluates conditions based on these parameters and selects appropriate processing paths, simplifying the decision-making process despite the complexity of the overall system.
3Quantity of substance
If video data with wide field of view and high aspect ratio is processed, then more content is captured, but editing difficulty increases
Solution Approach 1:
The system handles wide field of view and high aspect ratio video data through automated self-service processing. The rule engine automatically analyzes the annotation data from these videos and determines appropriate clips to include in outputs, eliminating the need for manual editing despite the increased content volume and complexity.
Data Source
AI summary
A system and method is provided for using rules to perform a set of actions on video data when conditions are satisfied by the video data. The system receives rules to select a theme, portions of the video data and/or a type of output. For example, based on annotation data associated with the video data, the system may apply rules to select one or more themes, with each of theme associated with a portion of the video data. In some examples, the system may apply rules to determine the portion of the video data associated with the theme. The system may apply rules to generate various types of output data associated with each of the selected themes, the types of output data may include a video summarization, individual video clips, individual video frames, a photo album including video frames selected from the video data or the like.