Multimedia Service

Multimedia service research focuses on optimizing user experience (QoE) and enhancing the efficiency of content delivery. Current efforts leverage machine learning, particularly models like Random Forests and Support Vector Regression, to predict QoE based on network parameters and develop more effective video quality assessment methods, including no-reference approaches. A significant trend involves exploring multimodal recommender systems and generative AI to personalize content and improve delivery efficiency, shifting from centralized production to user-side content generation. These advancements have implications for network resource management, personalized media experiences, and improved anomaly detection in increasingly complex network architectures.