Virtual Environment Viewpoint Data Aggregation for Action Hotspot Detection
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Solution Overview
Problem
In e-sports and virtual environments, spectators often miss action hotspots due to lack of engagement with chat features or difficulty in understanding in-game locations, leading to a suboptimal viewing experience.
Innovation Solution
A data processing apparatus and method that receives viewpoint data from multiple spectators, detects portions of the virtual environment, and selects regions of interest based on this data to output to users, enhancing the viewing experience by highlighting key areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If spectators rely on chat features to be alerted to action hotspots, then spectator engagement improves, but many spectators do not pay attention to or engage with chat features, leading to missed action
Solution Approach 1:
The patent introduces an automated system as an intermediary between the game environment and spectators. This system automatically detects action hotspots through computer vision analysis of video feeds and generates notifications, replacing the need for manual chat-based alerting. The intermediary system ensures reliable notification delivery without requiring spectator engagement in chat features.
Solution Approach 2:
The system performs self-service by automatically detecting and notifying spectators of action hotspots without requiring manual intervention. The computer vision system autonomously analyzes the game environment, identifies significant events, and pushes notifications to spectators, eliminating the need for other spectators to manually monitor and report action locations via chat.
2Loss of information
If text notifications are used to alert spectators to action hotspots, then information is provided, but spectators have difficulty understanding the in-game location and may still miss the action
Solution Approach 1:
The patent generates temporary visual overlays that are displayed briefly at the spectator's screen location corresponding to the action hotspot. These visual indicators are ephemeral but effective, showing spectators exactly where to look in the game view without requiring them to interpret complex text descriptions of locations.
Solution Approach 2:
The system uses visual indicators with distinct colors to mark action hotspots, making them easily distinguishable from the game environment. The color-coded visual overlays provide intuitive spatial information about where action is occurring, allowing spectators to quickly locate and understand the position of hotspots without textual interpretation.
3Productivity
If commentators are used to provide overview and identify action hotspots, then centralized control is achieved, but commentators have difficulty identifying locations or deciding which hotspot to commentate on
Solution Approach 1:
The system implements feedback mechanisms where the computer vision algorithm continuously monitors the game environment and automatically identifies action hotspots based on predefined criteria. This automated feedback loop provides commentators with a curated list of significant events, eliminating the need for them to manually scan and decide which locations to commentate on, thereby improving productivity while reducing decision complexity.
Data Source
AI summary
A data processing apparatus includes input circuitry to receive viewpoint data indicative of respective viewpoints for a plurality of spectators of a virtual environment, detection circuitry to detect a portion of the virtual environment viewed by each of the respective viewpoints in dependence upon the viewpoint data, selection circuitry to select one or more regions of the virtual environment in dependence upon at least some of the detected portions, and output circuitry to output data indicative of one or more of the selected regions.