03838nam 22005535 450 991099277140332120250328115303.03-031-84651-610.1007/978-3-031-84651-9(CKB)38124958000041(DE-He213)978-3-031-84651-9(MiAaPQ)EBC31979205(Au-PeEL)EBL31979205(EXLCZ)993812495800004120250328d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierEnhancing Video Streaming with AI, Cloud, and Edge Technologies Optimization Techniques and Frameworks /by Mahmoud Darwich, Magdy Bayoumi1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (XXIII, 338 p. 107 illus., 106 illus. in color.) 3-031-84650-8 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.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 edge computing is highlighted as a solution for scalability and low-latency streaming, addressing challenges like bandwidth optimization, cost-efficiency, and Quality of Experience (QoE). The book offers actionable insights into emerging technologies like 5G, quantum computing, and blockchain. It features case studies and real-world implementations, making it an essential resource for researchers, industry professionals, and students. Bridging theory and practice, the book provides a comprehensive guide to building the next generation of efficient and scalable video streaming infrastructures.Multimedia systemsCloud computingArtificial intelligenceMultimedia Information SystemsCloud ComputingArtificial IntelligenceMultimedia systems.Cloud computing.Artificial intelligence.Multimedia Information Systems.Cloud Computing.Artificial Intelligence.006.7Darwīsh Maḥmūdauthttp://id.loc.gov/vocabulary/relators/aut1684239Bayoumi Magdyauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910992771403321Enhancing Video Streaming with AI, Cloud, and Edge Technologies4526746UNINA