Video Widget Selection via Game Metadata Simulation
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Solution Overview
Problem
Current technologies lack an effective method to dynamically select and customize video widgets based on computer game metadata, limiting the ability to create engaging and relevant video content from game play experiences.
Innovation Solution
A system that uses metadata from computer games to identify and select video widgets, which can present metadata, change associations between template features and metadata, search for similar clips, vary video clip lengths, and determine the intensity of action, allowing for the creation of customized video templates tailored to the game play experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video templates are customized based on game metadata, then the relevance and engagement of video content is improved, but the system complexity increases due to dynamic widget selection and metadata processing
Solution Approach 1:
The system segments video content creation into modular components: metadata extraction modules that process game data, widget selection modules that choose appropriate UI elements, and template composition modules that assemble final videos. This segmentation allows complex customization without overwhelming system complexity, as each module handles a specific aspect independently.
Solution Approach 2:
The patent introduces an intermediary processing layer between game metadata and video templates. This intermediary system analyzes metadata, selects appropriate widgets, and manages the association between game data and template features. This mediator simplifies the overall system architecture by centralizing the complexity in a dedicated processing layer rather than distributing it throughout the entire system.
2Loss of information
If multiple video widgets are selected based on different metadata types, then the information completeness is improved, but the device complexity increases due to multiple selection criteria and processing requirements
Solution Approach 1:
The system employs a universal widget selection framework that handles multiple metadata types (gameplay events, player statistics, audio/visual data) through a single integrated process. The widget selection module can process different metadata categories using the same underlying architecture, reducing device complexity while maintaining information completeness across all video content types.
3Ease of operation
If video templates dynamically change based on gameplay metadata, then the user experience is improved, but the processing time increases due to real-time metadata analysis and widget selection
Solution Approach 1:
The system performs preliminary actions by pre-processing and categorizing game metadata during gameplay, preparing it for rapid widget selection and template generation. Metadata is extracted and organized in advance, allowing the widget selection process to operate on pre-prepared data structures rather than raw game data, significantly reducing real-time processing time while maintaining dynamic customization.
Data Source
AI summary
Computer game metadata is used to select a video widget provided in a video template. The widget can be operable to present metadata in the video template, change an association between features of the video template and metadata generated during play of a computer game, search for clips similar to a video clip presented by the video template, vary a length of a video clip presented by the video template, or vary an intensity of action used to select a video clip presented by the video template.