Dynamic Compression Dictionary Updates for Live Game Sessions
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Solution Overview
Problem
Existing dictionary-based compression techniques for online video games rely on static dictionaries trained from concluded game sessions, leading to inefficiencies and suboptimal compression ratios due to stale data, which do not adapt to changing game conditions during active sessions.
Innovation Solution
Implement a dynamic dictionary-based compression method where the compression dictionary is trained and updated in real-time during ongoing game sessions using data samples from current messages, allowing for continuous adaptation and improved compression ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static dictionaries trained from concluded game sessions are used, then device complexity is reduced and ease of operation is improved, but compression ratio deteriorates due to stale data that does not adapt to changing game conditions
Solution Approach 1:
The patent implements dynamic dictionary training during active game sessions, allowing the compression dictionary to adapt in real-time to changing game conditions and data patterns, thereby improving compression ratios while maintaining operational simplicity through automated processes
2Manufacturing precision
If dictionaries are updated during active game sessions, then compression ratio improves through adaptation to current data patterns, but device complexity increases due to continuous training requirements
Solution Approach 1:
The system performs self-service by automatically training and updating compression dictionaries during game sessions without requiring manual intervention, complex configuration, or external resources, thereby improving compression ratios while minimizing the increase in operational complexity
3Loss of time
If offline training from concluded sessions is used, then loss of time is reduced during game startup, but adaptability deteriorates because the dictionary cannot respond to changing game conditions
Solution Approach 1:
The patent enables continuous dictionary training during active game sessions, maintaining the usefulness of the compression system throughout the entire game duration rather than only during offline preparation, thereby improving adaptability while minimizing additional time requirements through efficient in-session training
Data Source
AI summary
Methods and systems for providing dynamic dictionary-based compression and decompression are described herein. A computing device may receive, during a currently running session with a client device, a plurality of messages. The computing device may determine, based on the plurality of messages, one or more frames. The computing device may determine, based on the one or more frames, data samples. The computing device may compress the one or more frames based on a compression dictionary. The computing device may train, during the currently running session, the compression dictionary based on the determined data samples, to create a new compression dictionary. The computing device may determine, during the currently running session and based on receiving additional messages, one or more additional frames. In addition, the computing device may compress the one or more additional frames based on the new compression dictionary.