AI Gameplay Event Prediction for Automated Multimedia Broadcasts

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Solution Overview

Problem

Existing video game streaming technologies often require manual intervention to present content of interest to viewers, leading to suboptimal presentation and increased time before content is available, especially in dynamic environments like e-sports.

Innovation Solution

Implementing a system that predicts in-game events using a soft analyzer and confirms with a hard analyzer to dynamically generate assets such as overlays, effects, and audio, enhancing the broadcast based on anticipated events.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual intervention is used to present content of interest, then content can be selectively presented, but the process requires human involvement and increases time before content is available

Engineering Contradiction:
Improvemanual interventionVSAvoidtime before content is available
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system performs self-service by automatically analyzing gameplay data, predicting events, and generating broadcast assets without requiring manual intervention. The event detection system autonomously processes game state information, identifies anticipated events, and triggers appropriate broadcast enhancements, eliminating the need for human operators to manually select and present content.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system applies preliminary action by analyzing gameplay data in advance to predict events before they occur. The event detection system continuously monitors game state and identifies patterns that indicate anticipated events will happen soon, allowing the broadcast system to prepare and present content proactively rather than reactively after events occur.

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If manual intervention is used to create content, then content can be customized, but it increases the amount of time before content is presented

Engineering Contradiction:
Improvecontent customizationVSAvoidcontent presentation speed
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The system autonomously generates customized broadcast content by automatically analyzing gameplay data and predicting events. The event detection system processes game state information, identifies anticipated events, and triggers appropriate broadcast assets such as overlays, graphics, and audio effects without requiring manual content creation, thereby maintaining customization while significantly improving presentation speed.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system changes parameters by dynamically adjusting broadcast content based on predicted event characteristics. The event detection system modifies broadcast parameters such as overlay positioning, graphic types, audio effects, and timing based on the anticipated event type and urgency, enabling rapid adaptation to different game situations without manual intervention.

Inventive Principle:
Principle #35Parameter changes

3Loss of time

If automated event prediction is implemented, then time before content is reduced, but the system complexity increases

Engineering Contradiction:
Improvetime before content is availableVSAvoidsystem complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system segments the complex task of event prediction and broadcast enhancement into separate functional modules. The event detection system is divided into distinct components: gameplay data collection, pattern recognition, event prediction, and broadcast asset generation. This segmentation allows each module to handle specific aspects of the complex process independently, making the overall system more manageable and maintainable.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary event detection system that acts as a mediator between the gameplay data and the broadcast enhancement components. This intermediary layer processes raw game state information, identifies anticipated events, and translates them into appropriate broadcast actions, simplifying the interaction between different system components and reducing overall complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12388889B2Augmenting multimedia streaming by anticipating events using artificial intelligence
Publication Date: 2025.08.12 NVIDIA CORP
  • US12388889B2 patent drawing
  • US12388889B2 patent drawing
  • US12388889B2 patent drawing

AI summary

Apparatuses, systems, and techniques to predict events within a gameplay session and modify a game broadcast based at least in part on the predicted events. In at least one embodiment, events within the gameplay session are predicted, which once predicted, cause assets to be generated and once the event is detected the assets are included in the game broadcast.