Automated Exciting Moment Detection in Game Videos
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Solution Overview
Problem
Manual methods for determining exciting moments in game videos are time-consuming and inefficient, requiring significant manpower and time to identify key moments in game competition recordings.
Innovation Solution
A method that captures video frames, identifies health points of game characters, and determines exciting moments based on health point changes, allowing for automatic identification and skipping to intense or critical moments in the game video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to determine exciting moments in game videos, then accuracy in identifying key moments can be maintained, but time consumption and manpower requirements increase significantly
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated computer-based system that uses image recognition and health point data processing to identify exciting moments, thereby eliminating time-consuming manual review while maintaining identification accuracy
Solution Approach 2:
The system enables self-service by automatically analyzing game video frames, extracting health point information, and identifying exciting moments without requiring human operators, allowing the system to process and determine key moments independently
2Productivity
If automated methods are used to determine exciting moments, then time efficiency improves, but system complexity increases
Solution Approach 1:
The patent extracts only the essential health point information from game video frames using image recognition, focusing on specific visual elements rather than analyzing the entire video content, thereby simplifying the automated system while maintaining efficiency
Solution Approach 2:
The system uses multi-functional processing that handles video frame capture, image recognition, health point extraction, and exciting moment identification through a unified automated platform, reducing overall system complexity through integrated design
3Reliability
If comprehensive video analysis is performed to identify all exciting moments, then completeness of identification improves, but processing time increases
Solution Approach 1:
The patent replaces comprehensive manual video analysis with automated health point data extraction from video frames, using computer-based image recognition to rapidly process visual information and identify exciting moments with both completeness and speed
Solution Approach 2:
The system changes the analysis parameter from comprehensive visual content review to specific health point value extraction, transforming the identification process into a focused data extraction task that maintains reliability while dramatically improving processing speed
Data Source
AI summary
Techniques for determining exciting moments in a game video are described herein. The disclosed techniques comprise capturing a video frame in a target game video; obtaining an icon associated with a game character in the video frame; determining a corresponding health point of the game character in the video frame based on the icon; determining a health point change of the game character by comparing a plurality of health points of the game character in the plurality of video frames; and determining at least one exciting moment in the target game video based on the health point change.