Enhancing Video Streaming with AI, Cloud, and Edge Technologies

Part I Foundations and Challenges in Video Streaming.- Chapter 1 Introduction to Video Streaming Systems and Challenges.- Part II AI-Driven Approaches for Video Streaming.- Chapter 2 AI-Driven Video Quality Assessment and Enhancement Techniques.- Chapter 3 Federated Learning for Scalable Video Streaming.- Chapter 4 Deep Learning for Adaptive Video Quality.- Part III Cloud and Edge Computing in Video Streaming.- Chapter 5 Cloud-Enhanced Video Streaming: Storage and Resource Management.- Chapter 6 Edge Computing for Low-Latency Video Streaming.- Chapter 7 Swarm Intelligence for Efficient Video Data Distribution in Edge Networks.- Part IV Emerging Technologies in Video Streaming.- Chapter 8 Blockchain-Enhanced Distributed Storage for Cloud-Based Video Streaming.- Chapter 9 AI-Driven Resource Allocation and Optimization in Video Streaming.- Part V Practical Implementations and Future Trends.- Chapter 10 Case Studies and Real-World Implementations of AI, Cloud, and Edge in Video Streaming.- Chapter 11 Conclusion and Future Directions for Video Streaming Enhancements.

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• Inteligência artificial
• Cloud computing
• Vídeo digital: profissional

Artificial Intelligence (AI) in Video Streaming;Cloud Computing;Edge Computing;Adaptive Bitrate (ABR) Streaming;Quality of Experience (QoE);Federated Learning;Video Compression and Encoding;Blockchain in Video Streaming;Low-Latency Streaming;Dynamic Resource Scaling;Predictive Analytics for Streaming;5G and 6G Networks;AI-Driven Video Quality Enhancement;Content Delivery Networks (CDN);Swarm Intelligence in Networking;Quantum Computing in Video Processing