Game Replay Generation Using Evaluation Models
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Solution Overview
Problem
Existing technologies face challenges in producing high-quality replay images for games, particularly in terms of image quality, interruption during recording, and the time-consuming process of editing and recording, which are barriers for users of all ages who want to enjoy or enhance their gaming experience without additional hassle.
Innovation Solution
A computing device that uses an operation evaluation model to compute evaluation scores for game data subsets, identify singularities, and extract main game data sets to automatically generate replay images with special effects, providing play feedback and additional information to improve user gameplay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If game image is recorded on smartphone, then replay image can be obtained, but image quality is lowered
Solution Approach 1:
The patent introduces a server as an intermediary between the smartphone and the replay generation process. The server receives game data from the smartphone, processes it to identify main scenes, and generates high-quality replay images. This mediator allows the smartphone to maintain its portable advantage while the server handles the computationally intensive tasks of high-quality replay generation.
2Productivity
If recording is performed during game play, then replay image can be captured, but game is interrupted
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing game data in the background during gameplay without interrupting the game. The main scene identification and replay generation are performed after the game concludes, using the pre-collected game data. This allows replay generation to be efficient while maintaining game continuity.
3Manufacturing precision
If traditional editing process is used, then replay image can be produced, but time and money are required for learning image program
Solution Approach 1:
The system implements self-service by automatically identifying main scenes and generating replay images without requiring user intervention or knowledge of editing software. The server autonomously processes game data, identifies significant moments using evaluation models, and produces replay images. This eliminates the need for users to learn image editing programs while maintaining high production quality.
4Ease of operation
If manual start/end button pressing is required, then recording can be controlled, but user convenience is reduced
Solution Approach 1:
The system uses feedback mechanisms where the server continuously evaluates game data during gameplay, automatically detecting main scenes based on predefined criteria and evaluation models. This feedback-driven approach allows the system to automatically determine when to start and end recording segments without requiring manual user input, simplifying operation while maintaining precise control over replay content.
Data Source
AI summary
Disclosed is a non-transitory computer readable medium storing a computer program, in which when the computer program is executed by one or more processors of a computing device. The computer program allows the one or more processors to the following operations and the operations may include may include an operation of computing an evaluation score for each of one or more game data subsets by using the one or more game data subsets included in the game data as input of an operation evaluation model; an operation of identifying a singularity where the amount of change of the evaluation score exceeds a predetermined threshold change amount; and an operation of extracting a main game data set from the game data set based on the singularity.