Efficient Computational Cost Saving in Video Processing for QoE Estimation

Efficient Computational Cost Saving in Video Processing for QoE Estimation

No-Reference video quality assessment has become a trending and challenging hot topic in estimating perceived quality in audiovisual content. In this paper, we present a proposal to considerably reduce the computational cost of video processing without losing accuracy in QoE estimation. Tests have b...

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Bibliographic Details
Main Authors: Alvaro Llorente, Javier Guinea Perez, Juan Antonio Rodrigo, David Jimenez, Jose Manuel Menendez
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Computational cost
feature extraction
I frames
machine learning
mean opinion score (MOS)
no-reference
Online Access:https://ieeexplore.ieee.org/document/10459022/

Internet

https://ieeexplore.ieee.org/document/10459022/

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