Online Game Image Extraction System
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Solution Overview
Problem
Existing mobile games struggle to create engaging, real-time game sessions that utilize image extraction effectively, failing to provide a dynamic and interactive experience for users.
Innovation Solution
A method for an online game system that stores images on computing devices, extracts content data using machine learning models, and facilitates game sessions through a content extraction module, challenge creation module, and gaming module, allowing users to initiate friend or dating game sessions based on image content analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile games use image extraction to create real-time game sessions, then user engagement and interactivity are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system is divided into distinct functional modules: image extraction module that processes photos from user devices, content analysis module that generates questions from extracted content, and game session module that manages multiplayer interactions. This segmentation allows each component to specialize in specific tasks, improving overall system adaptability while managing complexity through modular design.
Solution Approach 2:
A server acts as an intermediary between user devices and game logic. The server receives images from multiple users, performs content extraction and analysis, generates game questions, and coordinates game sessions. This intermediary approach centralizes complex processing tasks, reducing the burden on individual user devices while enabling sophisticated real-time game creation.
2Productivity
If the system extracts and processes images in real-time for game creation, then game session initiation speed is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs image extraction and content analysis in advance before game sessions begin. When users join a game session, the content data is already prepared and stored, allowing immediate game initiation. Questions are pre-generated from extracted image content, eliminating processing delays during actual gameplay setup.
Solution Approach 2:
Traditional mechanical image processing is replaced with automated content extraction algorithms and AI-based analysis systems. These automated systems efficiently process images and generate game content without manual intervention, significantly reducing processing time while maintaining high productivity in game session creation.
3Quantity of substance
If the game uses multiple user images and content data, then game content richness is improved, but data privacy and security risks increase
Solution Approach 1:
The system extracts only the specific content data needed for game creation from user images, such as identifying objects, people, or scenes in photos. Instead of storing or processing entire images, the system extracts relevant metadata and generates questions based on extracted content. This selective extraction reduces data privacy risks while maintaining game content richness.
Solution Approach 2:
Different levels of data processing are applied to different user contributions. The system processes images locally on user devices when possible, extracts only necessary content features, and stores minimal identifiable information. This localized processing approach preserves user privacy while still enabling rich game content creation from multiple user inputs.
Data Source
AI summary
The present invention is a system and method for providing an online game implemented by means of a computer system. The method includes the step of storing a plurality of images in at least one computing device. The method then includes the step of obtaining content data from the plurality of images stored in the computing device through a content extraction module. The method includes the step of facilitating the users to initiate a challenge for each other to create a game session over a game networking system through a challenge creation module. The game session includes a friend game session and a date game session. The method includes the step of initiating the game session created by the challenge creation module over the game networking system through a gaming module.