Gameplay Telemetry Captioning via Neural Network
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Solution Overview
Problem
Conventional visual description techniques for providing captions for video games are labor-intensive, time-consuming, and costly, mainly relying on manual creation of descriptive transcripts and human voice actors, which limits their application to pre-recorded content.
Innovation Solution
A data processing apparatus and method that utilize an artificial neural network (ANN) to generate caption data based on gameplay telemetry data, eliminating the need for video image processing and enabling real-time or recorded video game session captioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual creation of descriptive transcripts and human voice actors are used, then visual description accuracy is improved, but labor intensity and cost increase
Solution Approach 1:
The patent replaces the mechanical system of manual transcription and human voice acting with an automated computer-based system that captures gameplay telemetry data and generates captions programmatically, eliminating the need for human labor while maintaining description accuracy
Solution Approach 2:
The system enables self-service by automatically generating visual descriptions through telemetry data processing without requiring human intervention for transcription or voice synthesis, allowing the system to serve itself in creating accessible content
2Measurement precision
If manual transcription methods are used, then description quality is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary action by capturing and storing gameplay telemetry data during the game session itself, so that when captions are needed, the data is already available and processed, eliminating the need for time-consuming post-processing transcription
Solution Approach 2:
The patent substitutes the time-intensive manual transcription process with automated computational processing of telemetry data, generating captions instantly without human intervention
3Measurement precision
If video image processing is used for caption generation, then visual accuracy is improved, but computational load and latency increase
Solution Approach 1:
The patent extracts only the necessary gameplay information through telemetry data collection during game execution, avoiding the need to process entire video images while still capturing all relevant visual events and actions for accurate captioning
Solution Approach 2:
The system segments the visual information extraction process by using dedicated telemetry data collection for specific game events rather than processing complete video frames, reducing computational overhead while maintaining accuracy
4Measurement precision
If conventional visual description techniques are used, then description accuracy is improved, but adaptability to live content decreases
Solution Approach 1:
The system implements dynamics by enabling real-time caption generation during live gameplay sessions through continuous telemetry data processing, allowing the system to adapt to both recorded and live content dynamically rather than being limited to pre-recorded material
Data Source
AI summary
A data processing apparatus comprises a captioning model to receive gameplay telemetry data indicative of one or more in-game properties for a session of a video game, the captioning model comprising an artificial neural network (ANN) trained to output caption data comprising one or more captions in dependence upon a learned mapping between gameplay telemetry data and caption data, one or more of the captions comprising one or more words for providing a visual description for the session of the video game, and output circuitry to output one or more of the captions.