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.
Institutions
- Office of Technology Transfer (US)
- Machine Science (US)
- Allen Institute for Artificial Intelligence (US)
- Artificial Intelligence in Medicine (Canada) (CA)
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