Neural Network View Generation for Gaming Spectator Perspectives
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Solution Overview
Problem
Existing technologies face challenges in generating optimal spectator views for online gaming and digital experiences, as current methods struggle with providing unified and context-rich perspectives due to lack of localization and missing information in video clips or streams.
Innovation Solution
A system that utilizes a combination of motion classification using 3D-CNN, autoencoders, and generative adversarial networks to generate 360-degree spectator views by correlating player trajectories with environmental maps, filling gaps in image data, and allowing for interactive control of camera views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple player video feeds are used to generate spectator views, then the variety of perspectives is improved, but the lack of localization and context between clips deteriorates the unified view quality
Solution Approach 1:
The patent introduces an intermediary system that includes a map data interface, trajectory determination logic, and view generator. This intermediary correlates video feeds from multiple players by mapping their trajectories onto a unified environmental map, thereby restoring localization context and enabling seamless transitions between perspectives while maintaining spatial coherence of the spectator view.
2Ease of manufacture
If video clips from fixed player perspectives are provided, then the implementation complexity is reduced, but the viewer experience is limited to specific player viewpoints
Solution Approach 1:
The patent implements dynamic camera control where the spectator view can transition between different player perspectives based on selected camera modes. The system dynamically adjusts which player's video feed is displayed while maintaining the unified spatial context provided by the environmental map, allowing flexible viewer control without requiring complex multi-camera setups.
Solution Approach 2:
The view generator serves multiple functions: it can display individual player perspectives, generate synthesized spectator views, provide 360-degree environmental views, and switch between different camera modes. This multi-functional approach enables diverse viewing experiences while using the same core components of video feed integration and map-based trajectory correlation.
3Reliability
If 360-degree spectator views are generated by integrating multiple data sources, then the completeness and realism of the view is improved, but the computational complexity and processing requirements increase
Solution Approach 1:
The patent segments the spectator view generation into distinct functional modules: a video feed interface that collects player perspectives, a map data interface that provides environmental context, a trajectory determination logic that tracks player movements, and a view generator that synthesizes the final output. This segmentation allows each component to be optimized independently while maintaining overall system reliability and view completeness.
Data Source
AI summary
Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more first images based, at least in part, upon one or more second images having one or more different points of view.