Title :
Challenges in cloud based ingest and encoding for high quality streaming media
Author :
Anne Aaron;Zhi Li;Megha Manohara;Joe Yuchieh Lin;Eddy Chi-Hao Wu;C.-C Jay Kuo
Author_Institution :
Netflix Inc.,100 Winchester Circle Los Gatos, CA, United States
Abstract :
The Netflix ingest and encoding pipeline is a cloud-based platform that generates video encodes for the Netflix streaming service. Due to the large throughput of the system, automated video quality assessment of the source videos and the generated encodes is essential in ensuring the quality of experience of viewers. This paper discusses the motivations for integrating video quality assessment in the production pipeline, outlines currently deployed solutions and presents the technical challenges in improving the system.
Keywords :
"Streaming media","Encoding","Pipelines","Inspection","Quality assessment","Video recording","Bit rate"
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
DOI :
10.1109/ICIP.2015.7351097