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

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.