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100   $a20250328d2025      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEnhancing Video Streaming with AI, Cloud, and Edge Technologies $eOptimization Techniques and Frameworks /$fby Mahmoud Darwich, Magdy Bayoumi
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (XXIII, 338 p. 107 illus., 106 illus. in color.) 
311 08$a3-031-84650-8 
327   $aPart 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.
330   $aThis 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.
606   $aMultimedia systems
606   $aCloud computing
606   $aArtificial intelligence
606   $aMultimedia Information Systems
606   $aCloud Computing
606   $aArtificial Intelligence
615  0$aMultimedia systems.
615  0$aCloud computing.
615  0$aArtificial intelligence.
615 14$aMultimedia Information Systems.
615 24$aCloud Computing.
615 24$aArtificial Intelligence.
676   $a006.7
700   $aDarwi?sh$b Mah?mu?d$4aut$4http://id.loc.gov/vocabulary/relators/aut$01684239
702   $aBayoumi$b Magdy$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910992771403321
996   $aEnhancing Video Streaming with AI, Cloud, and Edge Technologies$94526746
997   $aUNINA