New Study Introduces TaoLive QoE Dataset for Live Video Streaming Quality Evaluation
A detailed investigation tackles major obstacles in establishing quality-of-experience (QoE) metrics for live video streaming, differing from traditional video-on-demand methods. The researchers have launched the inaugural live video streaming QoE dataset, named TaoLive QoE, which includes 42 original videos from actual broadcasts alongside 1,155 altered versions impacted by different streaming issues. This study evaluates both subjective and objective QoE assessments to assist media service providers in refining their compression and transmission techniques. As live video streaming has surged in popularity on various social media platforms recently, the research seeks to align existing VoD metrics with the distinct needs of live streaming scenarios, emphasizing the importance of user satisfaction in achieving optimal rate-distortion balances.
Key facts
- Study focuses on quality-of-experience evaluation for live video streaming
- Introduces first live video streaming QoE dataset called TaoLive QoE
- Dataset contains 42 source videos from real live broadcasts
- Includes 1,155 distorted versions with various streaming impairments
- Addresses gap between existing VoD metrics and live streaming needs
- Examines both subjective and objective QoE evaluation methods
- Aims to help optimize compression and transmission strategies
- Live video streaming has gained widespread popularity across social media platforms
Entities
Institutions
- arXiv