Cloud Gaming Mini-Game Generation via Gameplay Region Extraction
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Solution Overview
Problem
Current video game technologies lack efficient methods for automatically generating playable mini-games based on recorded gameplay, limiting user interaction and social sharing of gaming experiences.
Innovation Solution
A system and method for automatically generating playable mini-games by analyzing recorded gameplay data to identify regions of interest, defining boundaries within the gameplay context, and creating a limited version of the game based on these boundaries, allowing users to select and share these mini-games on social networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the full version of the video game is provided to users, then the gaming experience is complete and immersive, but the file size and processing requirements increase significantly
Solution Approach 1:
The patent segments the full video game into multiple playable mini-games based on recorded gameplay regions of interest. Each mini-game represents a self-contained portion of the original game that can be independently executed and shared, reducing the amount of data that needs to be transmitted and stored while maintaining gaming engagement.
Solution Approach 2:
The system extracts specific regions of interest from the full game based on recorded gameplay, creating standalone mini-games that capture exciting moments without requiring the complete game environment. This extraction process isolates only the necessary game elements for each mini-game, reducing overall data requirements.
2Adaptability or versatility
If more gameplay features and content are included in the mini-game, then the user experience is more engaging, but the complexity of generating and managing the mini-game increases
Solution Approach 1:
The system performs preliminary analysis of recorded gameplay to automatically identify regions of interest before mini-game generation. This pre-processing step captures gameplay data, analyzes user engagement patterns, and determines which segments should be converted into mini-games, simplifying the overall generation process by preparing all necessary information in advance.
Solution Approach 2:
The mini-game generation system uses the recorded gameplay data itself to automatically determine what content to include and how to structure the mini-games. The system self-configures the mini-game parameters based on the analyzed gameplay patterns, reducing the need for manual configuration and complex generation algorithms.
3Reliability
If the mini-game replicates the full game experience, then user satisfaction is higher, but the processing power and memory requirements increase
Solution Approach 1:
Each mini-game is designed with local quality by focusing on specific regions of interest from the recorded gameplay rather than attempting to replicate the entire game. This allows the mini-game to provide a concentrated, high-quality gaming experience in a specific area while consuming fewer overall processing resources compared to a full game replication.
Data Source
AI summary
A method, including: executing, by a cloud gaming system, a session of a video game; recording the user's gameplay of the video game; analyzing the user's recorded gameplay to determine a region of interest, the region of interest being a region of the video game having social network sharing levels that exceed a predefined threshold; during the session of the video game, receiving a request from the client device, the request being initiated from a button of a controller device interfaced to the client device; responsive to the request, presenting, through the client device, the region of interest; generating, by the cloud gaming system, a gameplay video of the video game based on the region of interest; sharing the gameplay video of the video game over the social network to one or more additional client devices for viewing by one or more additional users.