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AI-Driven Video Content Optimization Strategies for Immersive Media

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  • Xu, Da

Abstract

With the rapid development of immersive media technology, users' demand for video content interactivity, immersion, and intelligent presentation is constantly increasing. The advantages of AI technology in content perception, creation, integration, and transmission are gradually becoming prominent, and it is an important support for promoting the iterative upgrading of immersive media. This article starts with the basic theory of immersive media and AI driven video content optimization, and constructs an integrated system framework covering perception analysis, multimodal generation, rendering and transmission. It discusses the adaptability of existing technology algorithms, the complexity of polymorphic processing, and the bottleneck of terminal adaptation, and provides solutions such as semantic parsing enhancement, polymorphic fusion optimization, cloud edge collaborative rendering, etc., in order to provide theoretical reference and practical path for promoting the content experience improvement of immersive media and creating intelligent applications.

Suggested Citation

  • Xu, Da, 2026. "AI-Driven Video Content Optimization Strategies for Immersive Media," European Journal of Engineering and Technologies, Pinnacle Academic Press, vol. 2(1), pages 1-8.
    • Handle: RePEc:dba:ejetaa:v:2:y:2026:i:1:p:1-8
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    File URL: https://pinnaclepubs.com/index.php/EJET/article/view/452/451
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