Image data processing and storage method based on meta-universe game

By adopting distributed storage systems, adaptive compression algorithms and GPU parallel computing technologies in meta-universe games, the problems of compression loss, loading delay and low compatibility in image data processing are solved, efficient storage and processing are achieved, and game performance and user experience are significantly improved.

CN119680205APending Publication Date: 2025-03-25苏州和数智能软件有限公司
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Patent Information

Application Number
CN202411761224.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The image data processing methods in existing meta-universe games have problems such as compression loss, loading delay, high storage costs and low compatibility, which affect game performance and user experience.

Method used

The distributed storage system and a layered storage strategy for hot and cold data are adopted, combined with machine learning prediction tools to monitor the behavior of image data in real time, and use adaptive compression algorithms, multi-threaded asynchronous loading and GPU parallel computing to efficiently process and store image data, and improve image quality through progressive rendering, physical basic rendering and lighting calculations, and use virtualization technology and abstract graphics layers to achieve cross-platform compatible management.

Benefits of technology

It realizes efficient storage and processing of image data, improves image data quality and compatibility, significantly improves game performance and user experience, and reduces storage costs and loading delays.

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Abstract

The invention provides an image data processing and storing method based on a meta universe game, which comprises the following steps of: integrating and primarily processing image data to obtain an original image data set; a graphic database is designed based on a distributed storage system and by adopting a cold and hot data hierarchical storage strategy; processing the original image data set by utilizing a self-adaptive compression algorithm, a multi-thread asynchronous loading mode, GPU (Graphics Processing Unit) parallel computing, a progressive rendering technology, a physical basic rendering technology and illumination computing to obtain a standard image data set; a virtualization technology is utilized to simulate various hardware configurations, and a plurality of APIs are combined to carry out cross-platform compatible management of image data; and automatically updating and optimizing the content of the image data according to the monitoring result of the image data. According to the method, efficient storage and processing of the image data can be realized, the quality and compatibility of the image data are enhanced, the game performance and the user experience are remarkably improved, and development and popularization of the virtual world are promoted.
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