Leveraging Artificial Intelligence to Optimize Video Streaming Performance

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-11
DOI
https://doi.org/10.5281/zenodo.15200127
Primary Topic
melanin and skin pigmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Artificial Intelligence to Optimize Video Streaming Performance

Zenodo (CERN European Organization for Nuclear Research)
melanin and skin pigmentation
article

Leveraging Artificial Intelligence to Optimize Video Streaming Performance

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Office of Technology Transfer (US), Machine Science (US), Allen Institute for Artificial Intelligence (US), Artificial Intelligence in Medicine (Canada) (CA)
Openalex Percentile: Top 52%
melanin and skin pigmentation
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