Subjective and objective quality evaluation of watermarked audio tracks

2003 ◽  
Author(s):  
M. Arnold
Keyword(s):  
Quality Evaluation ◽  
Objective Quality

Objective quality evaluation method of stereo image based on steerable pyramid

2013 ◽  
Vol 32 (3) ◽  
pp. 710-714
Author(s):  
Jin-jin WEI ◽  
Su-mei LI ◽  
Wen-juan LIU ◽  
Yan-jun ZANG
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Stereo Image ◽  
Objective Quality ◽  
Steerable Pyramid

Video Objective Quality Evaluation System Based on the Visual Saliency Map

2013 ◽  
Vol 411-414 ◽  
pp. 1362-1367 ◽  
Author(s):  
Qing Lan Wei ◽  
Yuan Zhang
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Objective Assessment ◽  
Visual Saliency ◽  
Objective Evaluation ◽  
Subjective Assessment ◽  
Saliency Map ◽  
Assessment Scores ◽  
Objective Quality ◽  
Quality Evaluation System

This paper presents the thoughts about application of saliency map to the video objective quality evaluation system. It computes the SMSE and SPSNR values as the objective assessment scores according to the saliency map, and compares with conditional objective evaluation methods as PSNR and MSE. Experimental results demonstrate that this method can well fit the subjective assessment results.

Objective quality evaluation measure of symmetric and asymmetric distorted stereoscopic images

2012 ◽  
Vol 10 (s1) ◽  
pp. s11101-311103
Author(s):  
Shanbo Gu Shanbo Gu ◽  
Feng Shao Feng Shao ◽  
Gangyi Jiang Gangyi Jiang ◽  
Mei Yu Mei Yu
Keyword(s):  
Quality Evaluation ◽  
Stereoscopic Images ◽  
Objective Quality ◽  
Evaluation Measure

scholarly journals Objective Quality Evaluation of an Angularly-Continuous Light-Field Format

2018 ◽  
Author(s):  
Roopak R. Tamboli ◽  
Aron Cserkaszky ◽  
Peter A. Kara ◽  
Attila Barsi ◽  
Maria G. Martini
Keyword(s):  
Quality Evaluation ◽  
Light Field ◽  
Continuous Light ◽  
Objective Quality

scholarly journals No-Reference Depth Map Quality Evaluation Model Based on Depth Map Edge Confidence Measurement in Immersive Video Applications

2019 ◽  
Vol 11 (10) ◽  
pp. 204 ◽  
Author(s):  
Dogan ◽  
Haddad ◽  
Ekmekcioglu ◽  
Kondoz
Keyword(s):  
Quality Evaluation ◽  
Evaluation Model ◽  
Depth Map ◽  
Depth Image ◽  
Depth Maps ◽  
Model Based ◽  
Objective Quality ◽  
Quality Evaluation Model ◽  
Confidence Measurement

When it comes to evaluating perceptual quality of digital media for overall quality of experience assessment in immersive video applications, typically two main approaches stand out: Subjective and objective quality evaluation. On one hand, subjective quality evaluation offers the best representation of perceived video quality assessed by the real viewers. On the other hand, it consumes a significant amount of time and effort, due to the involvement of real users with lengthy and laborious assessment procedures. Thus, it is essential that an objective quality evaluation model is developed. The speed-up advantage offered by an objective quality evaluation model, which can predict the quality of rendered virtual views based on the depth maps used in the rendering process, allows for faster quality assessments for immersive video applications. This is particularly important given the lack of a suitable reference or ground truth for comparing the available depth maps, especially when live content services are offered in those applications. This paper presents a no-reference depth map quality evaluation model based on a proposed depth map edge confidence measurement technique to assist with accurately estimating the quality of rendered (virtual) views in immersive multi-view video content. The model is applied for depth image-based rendering in multi-view video format, providing comparable evaluation results to those existing in the literature, and often exceeding their performance.

scholarly journals Study of Subjective and Objective Quality Evaluation of 3D Point Cloud Data by the JPEG Committee

2019 ◽  
Vol 2019 (10) ◽  
pp. 312-1-312-7 ◽  
Author(s):  
Stuart Perry ◽  
António Pinheiro ◽  
Emil Dumic ◽  
Luis A da Silva Cruz
Keyword(s):  
Point Cloud ◽  
Quality Evaluation ◽  
3D Point Cloud ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Objective Quality

Objective Quality Evaluation Method for Noise-Reduced Speech

2008 ◽  
Vol E91-B (5) ◽  
pp. 1279-1286 ◽  
Author(s):  
N. EGI ◽  
H. AOKI ◽  
A. TAKAHASHI
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Objective Quality
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