Gameplay Video Encoding Using Game-State Complexity Estimation
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Solution Overview
Problem
Existing video game streaming technologies face challenges in achieving low latency and high visual quality due to the inefficiencies in real-time video encoding, particularly when relying on complexity estimation methods that add significant latency.
Innovation Solution
A method that estimates the complexity of video frames based on game data such as audio, haptic, and text information, allowing for real-time adjustment of encoding parameters to maintain quality and reduce bandwidth without increasing latency, using predefined algorithms or machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional video encoding methods are used for gameplay streaming, then visual quality can be maintained, but latency increases significantly
Solution Approach 1:
The system performs preliminary complexity estimation of game scenes before encoding, using game state analysis to predict required encoding resources. This advance preparation allows the encoder to allocate bandwidth and processing power efficiently, reducing latency while maintaining quality by avoiding reactive adjustments.
Solution Approach 2:
The encoding system dynamically adjusts encoding parameters based on real-time game state complexity. The complexity estimator continuously monitors game elements and modifies encoding settings accordingly, enabling the system to adapt to varying visual demands and reduce latency during high-action moments while maintaining quality during stable scenes.
2Productivity
If complexity estimation methods are used to optimize encoding, then encoding efficiency improves, but latency increases due to processing time
Solution Approach 1:
The system performs complexity estimation in advance of actual encoding by analyzing game state data before frame generation. This preliminary assessment allows encoding parameters to be pre-configured, eliminating the need for time-consuming real-time complexity analysis during the encoding process itself.
Solution Approach 2:
The system introduces an intermediary complexity estimation module that operates independently from the main encoding pipeline. This mediator analyzes game state data and provides encoding guidance without blocking the encoding process, allowing efficient parameter selection without adding significant latency to the overall stream.
3Reliability
If high encoding quality is maintained, then visual fidelity is preserved, but bandwidth requirements increase
Solution Approach 1:
The system changes encoding parameters dynamically based on scene complexity estimates. During low-complexity scenes, the system uses lower bitrate settings to reduce bandwidth consumption. During high-complexity scenes with important visual elements, the system automatically increases encoding quality and bandwidth allocation, optimizing the balance between visual quality and data transmission.
Solution Approach 2:
The encoding system dynamically adjusts quality parameters in real-time based on game state analysis. The complexity estimator continuously monitors visual demands and modifies encoding settings accordingly, enabling the system to allocate bandwidth efficiently across varying scene requirements while maintaining acceptable visual quality throughout the stream.
Data Source
AI summary
An encoding system configured to encode video of a game being executed, the video being encoded for transmission to a client device operated by a player of the game, the system comprising a game execution unit configured to execute the game, wherein executing the game comprises rendering a plurality of image frames for display to the player, a game information obtaining unit configured to obtain information about the game, including audio and/or text information associated with an image frame being rendered, a complexity estimation unit configured to estimate a spatial and/or temporal complexity of the image frame being rendered in dependence upon the obtained information, a parameter selection unit configured to select one or more encoding parameters in dependence upon the estimated spatial and/or temporal complexity, and an encoding unit configured to encode the video of the game being executed using the selected encoding parameters, the encoded video comprising the plurality of image frames for display to the player.