User-Centric Algorithms: Sculpting the Future of Adaptive Video Streaming

Authors

  • Koffka Khan Department of Computing and Information Technology, University of the West Indies, St. Augustine, Trinidad and Tobago. https://orcid.org/0000-0001-7712-1124

Keywords:

Adaptive video streaming, User-centricity, Streaming methods, Optimizes content delivery

Abstract

This paper explores the transformative potential of user-centric algorithms in shaping the future landscape of adaptive video streaming. Traditional streaming methods, though effective, often lack the ability to dynamically adapt to individual user preferences. We argue for a paradigm shift towards user-centricity, where algorithms are designed to consider user behavior, preferences, and feedback to optimize content delivery. By examining the impact of personalized streaming experiences on viewer satisfaction and engagement, we present a compelling case for the integration of machine learning and artificial intelligence in adaptive video streaming. Through real-world examples and case studies, we showcase the efficacy of user-centric algorithms in sculpting a more tailored and immersive streaming environment. This paper provides insights into the challenges, considerations, and future trends surrounding user-centric adaptive video streaming, highlighting its potential to redefine the viewer experience and set new standards for digital content delivery.

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Additional Files

Published

2023-12-30

How to Cite

Khan, K. (2023). User-Centric Algorithms: Sculpting the Future of Adaptive Video Streaming. International Transactions on Electrical Engineering and Computer Science, 2(4), 155–162. Retrieved from http://iteecs.com/index.php/iteecs/article/view/62

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Articles