Immersive Multimedia Intelligence: AI-Driven Generation and Interaction in 360° Video, Spatial Audio, and XR Environments

The rapid evolution of immersive technologies has redefined how users experience multimedia, leading to unprecedented levels of engagement through 360° video, spatial audio, and Extended Reality (XR) environments. This research proposes a novel framework for Immersive Multimedia Intelligence (IMI) that leverages Artificial Intelligence (AI) and Generative Machine Learning (GenAI/ML) to dynamically generate, adapt, and personalize multimedia content in real time. The system integrates deep learning models for scene understanding, user context recognition, and audio-visual fusion, enabling interactive and adaptive experiences in both Augmented Reality (AR) and Virtual Reality (VR) scenarios. The study also explores intelligent video collaboration techniques that utilize spatial cues and multi-modal data to enhance realism and reduce cognitive load. By incorporating feedback-aware content adjustment and predictive user behavior modeling, the framework aims to elevate immersive communication, education, entertainment, and telepresence applications. Experimental validations demonstrate significant improvements in user engagement, latency reduction, and perceptual quality, establishing a new paradigm for intelligent and interactive multimedia systems.

Immersive Multimedia, Generative AI, 360° Video, Spatial Audio, Extended Reality (XR), Augmented Reality (AR), Virtual Reality (VR), Video Collaboration, AI-Driven Interaction, Multi-Modal Fusion, Deep Learning, Real-Time Adaptation, Intelligent Display, User-Centric Design.

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