1.1 Mathematical modeling and formal frameworks for audio-visual fusion in interactive media contexts

1.2 Semantic alignment and cross-modal knowledge graphs for media content interaction

1.3 Cognitive science-informed theoretical paradigms for user-centric media audio-visual interaction design

1.4 Data-efficient learning methodologies optimized for media interaction scenario constraints (e.g., dynamic content, variable user contexts)

1.5 Ontologies and metadata standards for standardized audio-visual media interaction

2.1 Advanced audio signal processing for media interaction (e.g., real-time adaptive spatial audio, emotion-aware speech processing, media-specific noise suppression)

2.2 Intelligent video analysis for interactive media (e.g., gaze-driven content adaptation, gesture-based media control, scene-aware visual feedback)

2.3 GenAI-driven adaptive audio-visual content generation and interaction for personalized media experiences

2.4 Edge-cloud collaborative computing architectures for low-latency media audio-visual interaction systems

2.5 Synchronization and transmission optimization of audio-visual media streams in interactive scenarios

3.1 Audio-visual interaction systems in XR-based immersive media (e.g., interactive virtual concerts, augmented reality news delivery, mixed reality media storytelling)

3.2 Intelligent audio-visual interaction in smart media platforms (e.g., interactive broadcasting, personalized content recommendation engines, cloud-based media production collaboration)

3.3 Audio-visual interaction for social media (e.g., real-time audio-visual enhancement for user-generated content, interactive media communication tools)

3.4 Educational media applications (e.g., immersive audio-visual teaching platforms, interactive media-based tutoring systems)

3.5 Digital cultural media (e.g., interactive audio-visual exhibitions, virtual heritage site media interaction systems)