Amanote Research
Register
Sign In
No-Reference Video Quality Assessment of H.264 Video Streams Based on Semantic Saliency Maps
doi 10.1117/12.905379
Full Text
Open PDF
Abstract
Available in
full text
Date
January 22, 2012
Authors
H. Boujut
J. Benois-Pineau
T. Ahmed
O. Hadar
P. Bonnet
Publisher
SPIE
Related search
Research on No-Reference Video Quality Assessment Based on H.264/Avc Bitstream
The Open Automation and Control Systems Journal
Constructing a No-Reference H.264/Avc Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression
IEEE Transactions on Circuits and Systems for Video Technology
Electronic Engineering
Media Technology
Electrical
No-Reference Video Quality Assessment Based on Artifact Measurement and Statistical Analysis
IEEE Transactions on Circuits and Systems for Video Technology
Electronic Engineering
Media Technology
Electrical
No-Reference Video Quality Assessment Method Based on the Levenberg-Marquardt Minimization
Line-Based Intra Coding for High Quality Video Using H.264/Avc
Video Based Saliency Detection
International Journal of Computer Applications
Assessment of H.264 Video Compression on Automated Face Recognition Performance in Surveillance and Mobile Video Scenarios
No-Reference Video Quality Assessment via Pretrained CNN and LSTM Networks
Signal, Image and Video Processing
Electronic Engineering
Signal Processing
Electrical
Optimal H.264/Avc Video Transcoding System