Intelligent Stream View Prioritization in Multiplayer Games
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for managing in-stream views in digital environments, such as multiplayer games, rely on manual human intervention to select and switch between numerous perspectives, which is time-consuming and prone to overlooking significant events or prioritizing based on incorrect factors.
Innovation Solution
A game control system that uses a machine learning model to determine a prioritized queue of data streams based on real-time in-game indicators, historical data, and user overrides, allowing for dynamic and intelligent prioritization and manipulation of stream views, including the use of a camera character view to capture significant events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual human producers select and switch between in-game views, then spectator control and customization are possible, but the process becomes time-consuming and difficult when there are many streams and perspective views
Solution Approach 1:
The system enables self-service by allowing the spectator to directly control and select game views without requiring a human producer as an intermediary. The spectator can manipulate camera angles, switch between player perspectives, and customize the viewing experience independently, eliminating the time-consuming manual evaluation process while maintaining full control over view selection.
2Reliability
If human producers manually monitor individual streams to make switching decisions, then view selection can be made, but significant events may be overlooked and switching decisions may be based on incorrect factors
Solution Approach 1:
The patent replaces the mechanical system of manual human monitoring with an automated computer-based system that uses image processing and machine learning algorithms to detect and prioritize significant in-game events. This substitution eliminates human error and oversight while systematically analyzing multiple streams simultaneously, improving reliability without requiring complex manual monitoring procedures.
Solution Approach 2:
The system introduces an automated event detection intermediary that acts as a mediator between the multiple game streams and the spectator. This intermediary automatically identifies significant events, prioritizes them according to predefined criteria, and presents them to the spectator in a structured manner, eliminating the need for human producers to manually evaluate and prioritize streams.
3Adaptability or versatility
If multiple different perspective views are provided to spectators, then spectator choice and customization are enhanced, but the number of available views increases the difficulty of manual selection and switching
Solution Approach 1:
The system segments the large number of available game views into organized categories or groups based on game state, player importance, or event type. This segmentation allows the spectator to navigate and select from views in a structured manner rather than facing an overwhelming number of unorganized options, maintaining versatility while improving ease of operation through systematic organization.
Data Source
AI summary
The present technology provides a mechanism for assisting in generating a prioritized view of an in-game environment of a game session of a game title by establishing and propagating the prioritized view to spectator devices, the game session played by user devices controlling characters in the in-game environment. The prioritized view is intelligently determined based on in-game indicators associated with each respective game view at the user devices.