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Enhancing Video Streaming with AI, Cloud, and Edge Technologies

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Enhancing Video Streaming with AI, Cloud, and Edge Technologies
Περιγραφή: 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.
Συγγραφείς: Mahmoud Darwich, Magdy Bayoumi
Resource Type: eBook.
Θέματα: Cloud computing, Edge computing, Artificial intelligence, Streaming video, Digital video--Editing--Data processing
Categories: COMPUTERS / Interactive & Multimedia, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Distributed Systems / Cloud Computing
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4174337
RelevancyScore: 981
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 981.043701171875
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  Data: 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.
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RecordInfo BibRecord:
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      – Code: 006.74
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Cloud computing
        Type: general
      – SubjectFull: Edge computing
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Streaming video
        Type: general
      – SubjectFull: Digital video--Editing--Data processing
        Type: general
    Titles:
      – TitleFull: Enhancing Video Streaming with AI, Cloud, and Edge Technologies
        Type: main
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          Name:
            NameFull: Mahmoud Darwich
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            NameFull: Magdy Bayoumi
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            NameFull: Mahmoud Darwich
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            NameFull: Magdy Bayoumi
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
            – D: 28
              M: 03
              Type: profile
              Y: 2025
          Identifiers:
            – Type: isbn-print
              Value: 9783031846502
            – Type: isbn-electronic
              Value: 9783031846519
          Titles:
            – TitleFull: Enhancing Video Streaming with AI, Cloud, and Edge Technologies
              Type: main
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