Game Replay Image Generation with User Integration
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Solution Overview
Problem
Existing game scene replay technologies fail to effectively combine a captured image of a user with a game image, resulting in a lack of realism in the replay experience.
Innovation Solution
A program and information processing device that includes an image generation section, user determination section, and user image acquisition section to combine a captured user image with a game image, allowing for the creation of a more realistic replay experience by determining the user to be included based on their play status and acquiring their image for integration with the game scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a captured image of a user is combined with a game image, then the realism and atmosphere of the replay experience is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system is divided into distinct functional modules: an image generation section that creates game images, a user determination section that identifies which user to capture, a user image acquisition section that captures the user image, and a combination processing section that merges the images. This segmentation allows each module to handle specific tasks independently, managing complexity through modular design while achieving realistic combined images.
Solution Approach 2:
The combination processing section acts as an intermediary that receives both game images and user images, processes them together, and produces the final combined replay image. This intermediary component coordinates the integration of multiple image sources, managing the complexity of combining different image types while maintaining system organization.
2Adaptability or versatility
If multiple user images are captured and combined with game images, then the engagement and excitement transmission is improved, but the loss of time for processing multiple images increases
Solution Approach 1:
The user determination section selectively determines which user images to capture and combine, rather than capturing all user images. This partial action approach captures only the necessary user images (e.g., users involved in specific game events or displaying notable reactions), reducing processing time while still maintaining high user engagement by featuring relevant users in the replay.
3Loss of information
If the user image is integrated into the game scene, then the atmosphere and excitement of the game is transmitted better, but the difficulty of detecting and measuring the appropriate user image increases
Solution Approach 1:
The user determination section uses feedback from game status information to determine which user images to capture. The system monitors game events, player actions, and in-game conditions, and uses this feedback to identify users who should be featured in the replay (e.g., users involved in goals, scoring actions, or displaying excited reactions). This feedback mechanism automates the difficult task of selecting appropriate user images, reducing manual detection difficulty while maintaining atmosphere transmission.
Data Source
AI summary
A replay data acquisition section acquires replay data for reproducing a play status of a game. A replay image generation section generates a replay image of a game scene on the basis of the acquired replay data. A user determination section determines a user to be included in a combined image. A user image acquisition section acquires a user image obtained by imaging the determined user. A combination processing section generates the combined image by combining the acquired user image with the replay image.