Enhancing Video Streaming with AI, Cloud, and Edge Technologies Optimization Techniques and Frameworks /
This book explores how artificial intelligence, cloud computing, and edge technologies are transforming video streaming systems. It delves into AI-driven adaptive bitrate streaming, predictive resource allocation, and federated learning for personalized recommendations. The integration of cloud and...
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| Hlavní autoři: | , |
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| Korporativní autor: | |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Vydání: | 1st ed. 2025. |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-84651-9 |
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Obsah:
- 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.