A Multimedia Streaming and Analytics Taxonomy (MSAT)


Authors : Koffka Khan

Volume/Issue : Volume 8 - 2023, Issue 10 - October

Google Scholar : https://tinyurl.com/5d6xkbzp

Scribd : https://tinyurl.com/pdk56bcb

DOI : https://doi.org/10.5281/zenodo.10100044

Abstract : The Multimedia Streaming and Analytics Taxonomy (MSAT) is a comprehensive framework designed to provide a structured and holistic understanding of the intricate world of multimedia streaming and analytics. In an era marked by the proliferation of diverse multimedia content, MSAT encompasses not only video and audio streams but also various forms of multimedia, including images, interactive content, and other emerging media types. MSAT delves into the entire lifecycle of multimedia data, from its sources and ingestion to processing, storage, transformation, and delivery. It elucidates the complexities of both real-time and batch processing, emphasizing the significance of in-stream analytics for immediate insights from multimedia streams. This taxonomy addresses the fundamental components and technologies in multimedia streaming, such as streaming protocols, content delivery mechanisms, and the ever-important security aspects, including Digital Rights Management (DRM) and encryption. It also highlights the role of emerging technologies like WebRTC and MPEG-DASH, along with the vital role of edge computing in delivering low-latency multimedia content. The user experience is a focal point within MSAT, covering aspects such as user interface design, personalization, and interactive features to enhance viewer engagement. Compliance and regulations are also considered, encompassing data privacy, content regulation, and accessibility standards. Furthermore, MSAT emphasizes the critical aspect of monitoring and quality control, providing insights into media quality monitoring and error handling, and introducing the concept of Quality of Experience (QoE) for multimedia content. Scalability and infrastructure management are also integral, ensuring that the infrastructure can handle the growing volume of multimedia data and optimize resource utilization. In summary, the Multimedia Streaming and Analytics Taxonomy (MSAT) offers a comprehensive and adaptable framework to navigate the dynamic landscape of multimedia streaming and analytics. It is a valuable resource for industries and professionals seeking to harness the potential of multimedia data while ensuring a seamless user experience and compliance with evolving regulations.

Keywords : Multimedia, streaming, analytics, taxonomy, MPEG-DASH.

The Multimedia Streaming and Analytics Taxonomy (MSAT) is a comprehensive framework designed to provide a structured and holistic understanding of the intricate world of multimedia streaming and analytics. In an era marked by the proliferation of diverse multimedia content, MSAT encompasses not only video and audio streams but also various forms of multimedia, including images, interactive content, and other emerging media types. MSAT delves into the entire lifecycle of multimedia data, from its sources and ingestion to processing, storage, transformation, and delivery. It elucidates the complexities of both real-time and batch processing, emphasizing the significance of in-stream analytics for immediate insights from multimedia streams. This taxonomy addresses the fundamental components and technologies in multimedia streaming, such as streaming protocols, content delivery mechanisms, and the ever-important security aspects, including Digital Rights Management (DRM) and encryption. It also highlights the role of emerging technologies like WebRTC and MPEG-DASH, along with the vital role of edge computing in delivering low-latency multimedia content. The user experience is a focal point within MSAT, covering aspects such as user interface design, personalization, and interactive features to enhance viewer engagement. Compliance and regulations are also considered, encompassing data privacy, content regulation, and accessibility standards. Furthermore, MSAT emphasizes the critical aspect of monitoring and quality control, providing insights into media quality monitoring and error handling, and introducing the concept of Quality of Experience (QoE) for multimedia content. Scalability and infrastructure management are also integral, ensuring that the infrastructure can handle the growing volume of multimedia data and optimize resource utilization. In summary, the Multimedia Streaming and Analytics Taxonomy (MSAT) offers a comprehensive and adaptable framework to navigate the dynamic landscape of multimedia streaming and analytics. It is a valuable resource for industries and professionals seeking to harness the potential of multimedia data while ensuring a seamless user experience and compliance with evolving regulations.

Keywords : Multimedia, streaming, analytics, taxonomy, MPEG-DASH.

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