No-Reference Video Quality Assessment Using Local Structural and Quality-Aware Deep Features
Author:
Affiliation:
1. Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10121357.pdf?arnumber=10121357
Reference47 articles.
1. Quality Assessment of In-the-Wild Videos
2. KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
3. Two-Level Approach for No-Reference Consumer Video Quality Assessment
4. Rethinking the Inception Architecture for Computer Vision
5. Spatiotemporal Representation Learning for Blind Video Quality Assessment
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