AI-Driven Dynamic Camera Angle Adjustment
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Solution Overview
Problem
Current video games rely on pre-programmed camera angles, which may not dynamically adjust to the interactivity of the game, leading to suboptimal viewing experiences for players.
Innovation Solution
A system and method that utilizes an artificial intelligence (AI) model to dynamically select and adjust camera angles during gameplay, based on a dataset of video sequences with tagged metadata, allowing for real-time adjustment of camera angles to provide a more engaging and interactive view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-programmed camera angles are used, then the game can be developed with simpler control logic, but the camera angles cannot dynamically adjust to game interactivity
Solution Approach 1:
The patent implements dynamic camera angle adjustment by training an AI model on video sequences with various camera angles and actions, then using the trained model to automatically select optimal camera angles during gameplay based on real-time game state analysis, transforming the static pre-programmed camera system into a dynamic adaptive one
Solution Approach 2:
The patent replaces the traditional mechanical rule-based camera control system with an AI-based system that uses machine learning models to analyze game scenes and determine optimal camera angles, substituting complex if-then programming logic with intelligent automated decision-making
2Measurement precision
If developer-programmed camera views are used, then the camera angles can be precisely controlled during programming, but they lag or are not best positioned for dynamic game interactivity
Solution Approach 1:
The patent applies preliminary action by pre-training the AI model on extensive video sequences containing various actions and their corresponding optimal camera angles before deployment, so that during gameplay the model can immediately select appropriate camera angles without requiring real-time complex calculations
Solution Approach 2:
The system continuously analyzes the current game state and compares it with patterns learned during training, using feedback from the game interactivity to dynamically adjust camera angles in real-time, ensuring the camera remains optimally positioned for ongoing gameplay events
Data Source
AI summary
A methods and system are provided for dynamically adjusting a camera angle in a video game is provided. One example method includes receiving a dataset of a plurality of video sequences that are associated with tagging data in metadata that identify characteristics of actions occurring in each of the plurality of video sequences. The method includes generating an artificial intelligence (AI) model from the dataset. The method includes accessing the AI model during gameplay of the video game. The accessing includes providing snapshots of video sequences generated during said gameplay of the video game. The method includes adjusting a game camera angle dynamically during the gameplay. The adjusting is responsive to adjustment instructions derived from said AI model.