Game Event Recognition Using Hierarchical UI Region Analysis
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Solution Overview
Problem
Existing methods for analyzing complex digital content, such as video games, are resource-intensive and latency-prone, especially when identifying events of interest in limited-capacity devices.
Innovation Solution
A hierarchical region-based analysis approach is employed, focusing on primary and subordinate regions within game interfaces to detect events, reducing computational load by analyzing only regions that indicate state changes, and using neural networks for event recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive content analysis is performed on complex digital content, then measurement precision and event detection accuracy are improved, but use of energy and computational resources increase significantly
Solution Approach 1:
The patent segments the game content analysis into distinct hierarchical levels: frame-level processing, event-level processing, and highlight-level processing. Each level processes only the specific data needed for its purpose, avoiding unnecessary computational overhead. For example, event detection operates on detected events rather than raw frames, and highlight generation operates on selected events rather than all game data.
Solution Approach 2:
The patent extracts and processes only the essential features needed for event detection and highlight generation. It identifies and processes specific game events (kills, deaths, objectives captured) without analyzing all visual content. The system extracts key information from game state data and UI elements, discarding irrelevant details to reduce computational load.
2Measurement precision
If comprehensive content analysis is performed on complex digital content, then event detection accuracy is improved, but processing time and latency increase
Solution Approach 1:
The patent performs preliminary processing of game content by pre-identifying and categorizing events as they occur during gameplay. Event detection operates continuously in the background, pre-processing game state changes before highlight generation is requested. This allows the system to quickly generate highlights without performing comprehensive analysis at the moment of request.
Solution Approach 2:
The patent divides the processing pipeline into separate stages that can operate independently and in parallel. Frame processing, event detection, and highlight generation are segmented into distinct modules with defined interfaces. This segmentation allows each module to optimize its processing time and enables parallel execution where possible, reducing overall latency.
3Measurement precision
If detailed analysis of all regions is performed, then event detection completeness is improved, but device complexity and computational load increase
Solution Approach 1:
The patent applies different levels of analysis to different regions of the game interface based on their importance. Primary regions (such as the main gameplay area and key UI elements) receive detailed analysis, while secondary regions receive minimal or no analysis. The system dynamically adjusts the level of scrutiny applied to different areas based on the current game state and detected events.
Solution Approach 2:
The patent segments the game interface into hierarchical regions with different analysis requirements. The system identifies primary regions that contain critical game information and secondary regions with less importance. Event detection is performed comprehensively in primary regions while using simplified detection in secondary regions, reducing overall system complexity.
Data Source
AI summary
Automated detection of events in content can be performed using regions of information associated with various user interface or display elements. Certain elements can be indicative of a type of event, and regions associated with these elements can be analyzed on a per-frame basis. If one of these primary regions shows a state or transition that is indicative of one of these events, one or more secondary regions can be analyzed as well to attempt to verify whether that event occurred, as well as whether that event qualifies for selection for additional use. Selected events can be used for purposes such as to generate highlight montages, training videos, or user profiles. These events may be positioned at different layers of an event hierarchy, where child regions are only analyzed for frames where a parent region is indicative of a type of event.