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Leveraging Artificial Intelligence to Optimize Video Streaming Performance

Year: 2025

Type: article

Abstract: Video streaming services have become indispensable in the digital age offering users immediate access to entertainment. However, achieving uninterrupted playback in dynamic environments presents significant challenges. These challenges include adaptive bitrate (ABR) streaming, network bandwidth management, memory constraints and the need for high Quality of Experience (QoE). This paper explores AI's transformative role in addressing these factors, introduces a new AI-driven solution called StreamAI and provides technical validation for its effectiveness.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15200127

Author: Gupta, Shivang

Language: English

Topic: Image and Video Quality Assessment

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6912054687

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