Deep Learning for Quality Assessment in Live Video Streaming

Video content providers put stringent requirements on the quality assessment methods realized on their services. They need to be accurate, real-time, adaptable to new content, and scalable as the video set grows. In this letter, we introduce a novel automated and computationally efficient video asse...

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Veröffentlicht in:	IEEE signal processing letters 2017-06, Vol.24 (6), p.736-740
Hauptverfasser:	Vega, Maria Torres, Mocanu, Decebal Constantin, Famaey, Jeroen, Stavrou, Stavros, Liotta, Antonio
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning (DL) Feature extraction Machine learning Measurement multimedia video services Quality assessment Real-time systems Streaming media unsupervised learning (UL) video quality assessment
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