A quality metric for use with frame-rate based bandwidth adaptation algorithms

2008 ◽  
Author(s):  
Matthias Krause ◽  
Michael van Hartskamp ◽  
Emile Aarts
Keyword(s):  
Frame Rate ◽  
Quality Metric ◽  
Bandwidth Adaptation

Video Quality Metric for Bit Rate Control via Joint Adjustment of Quantization and Frame Rate

2007 ◽  
Vol 53 (1) ◽  
pp. 441-446 ◽  
Author(s):  
Rosario Feghali ◽  
Filippo Speranza ◽  
Demin Wang ◽  
Andr Vincent
Keyword(s):  
Rate Control ◽  
Video Quality ◽  
Frame Rate ◽  
Bit Rate ◽  
Quality Metric ◽  
Video Quality Metric

How re-training process affect the performance of no-reference image quality metric for face images

2019 ◽  
Vol 2019 (5) ◽  
pp. 528-1-528-6
Author(s):  
Xinwei Liu ◽  
Christophe Charrier ◽  
Marius Pedersen ◽  
Patrick Bours
Keyword(s):  
Image Quality ◽  
Reference Image ◽  
Training Process ◽  
Quality Metric ◽  
Face Images ◽  
Image Quality Metric

Objective Video Quality Method Based on Mutual Information and Human Visual System

2012 ◽  
Vol 58 (2) ◽  
pp. 147-152
Author(s):  
Michal Mardiak ◽  
Jaroslav Polec
Keyword(s):  
Mutual Information ◽  
Visual System ◽  
Human Visual System ◽  
Quality Evaluation ◽  
Video Quality ◽  
Evaluation Criteria ◽  
Test Sequence ◽  
Quality Metric ◽  
Two Stages ◽  
Video Quality Metric

Objective Video Quality Method Based on Mutual Information and Human Visual SystemIn this paper we present the objective video quality metric based on mutual information and Human Visual System. The calculation of proposed metric consists of two stages. In the first stage of quality evaluation whole original and test sequence are pre-processed by the Human Visual System. In the second stage we calculate mutual information which has been utilized as the quality evaluation criteria. The mutual information was calculated between the frame from original sequence and the corresponding frame from test sequence. For this testing purpose we choose Foreman video at CIF resolution. To prove reliability of our metric were compared it with some commonly used objective methods for measuring the video quality. The results show that presented objective video quality metric based on mutual information and Human Visual System provides relevant results in comparison with results of other objective methods so it is suitable candidate for measuring the video quality.

Measurement of regional pulse wave velocity using very high frame rate ultrasound

Choonpa Igaku ◽  
2015 ◽  
Vol 42 (6) ◽  
pp. 701-709
Author(s):  
Hideyuki HASEGAWA ◽  
Kazue HONGO ◽  
Hiroshi KANAI
Keyword(s):  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Frame Rate ◽  
High Frame Rate ◽  
Very High

scholarly journals High frame-rate multichannel beam-scanning microscopy based on Lissajous trajectories

2014 ◽  
Vol 22 (20) ◽  
pp. 24224 ◽  
Author(s):  
Shane Z. Sullivan ◽  
Ryan D. Muir ◽  
Justin A. Newman ◽  
Mark S. Carlsen ◽  
Suhas Sreehari ◽  
...  
Keyword(s):  
Frame Rate ◽  
Scanning Microscopy ◽  
Beam Scanning ◽  
High Frame Rate ◽  
Lissajous Trajectories

scholarly journals Limits of subjective and objective vection for ultra-high frame rate visual displays

Displays ◽  
2020 ◽  
Vol 64 ◽  
pp. 101961 ◽  
Author(s):  
Séamas Weech ◽  
Sophie Kenny ◽  
Claudia Martin Calderon ◽  
Michael Barnett-Cowan
Keyword(s):  
Frame Rate ◽  
Visual Displays ◽  
High Frame Rate
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