1
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
2
Perceptual Video Quality Prediction Emphasizing Chroma Distortions
3
Adaptive Debanding Filter
4
Subjective and Objective Quality Assessment of High Frame Rate Videos
5
BBAND INDEX: A NO-REFERENCE BANDING ARTIFACT PREDICTOR
6
A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment
7
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
8
ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
9
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
10
Spatio-Temporal Measures Of Naturalness
11
Blind Video Quality Assessment With Weakly Supervised Learning and Resampling Strategy
12
Quality Assessment of In-the-Wild Videos
13
Two-Level Approach for No-Reference Consumer Video Quality Assessment
14
YouTube UGC Dataset for Video Compression Research
15
End-to-End Blind Quality Assessment of Compressed Videos Using Deep Neural Networks
16
Deep Video Quality Assessor: From Spatio-Temporal Visual Sensitivity to a Convolutional Neural Aggregation Network
17
In-Capture Mobile Video Distortions: A Study of Subjective Behavior and Objective Algorithms
18
Recurrent and Dynamic Models for Predicting Streaming Video Quality of Experience
19
Film Grain Synthesis for AV1 Video Codec
20
KonIQ-10k: Towards an ecologically valid and large-scale IQA database
21
Large-Scale Study of Perceptual Video Quality
22
Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment
23
The Konstanz natural video database (KoNViD-1k)
24
No-Reference Quality Assessment of Tone-Mapped HDR Pictures
25
Perceptual quality prediction on authentically distorted images using a bag of features approach
26
A perceptual visibility metric for banding artifacts
27
MCL-JCV: A JND-based H.264/AVC video quality assessment dataset
28
A deep neural network for image quality assessment
29
Blind Image Quality Assessment Based on High Order Statistics Aggregation
30
Spatiotemporal Statistics for Video Quality Assessment
31
Deep Residual Learning for Image Recognition
32
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
33
MCL-V: A streaming video quality assessment database
34
Image Quality Assessment Using Human Visual DOG Model Fused With Random Forest
35
A Feature-Enriched Completely Blind Image Quality Evaluator
36
The New Data and New Challenges in Multimedia Research
37
No-reference video quality assessment via feature learning
38
Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features
39
Very Deep Convolutional Networks for Large-Scale Image Recognition
40
C-DIIVINE: No-reference image quality assessment based on local magnitude and phase statistics of natural scenes
41
Convolutional Neural Networks for No-Reference Image Quality Assessment
42
No-reference image quality assessment in curvelet domain
43
Blind Prediction of Natural Video Quality
44
No-reference image quality assessment based on log-derivative statistics of natural scenes
45
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index
46
Color image database TID2013: Peculiarities and preliminary results
47
Video Quality Assessment by Reduced Reference Spatio-Temporal Entropic Differencing
48
Making a “Completely Blind” Image Quality Analyzer
49
Video Quality Pooling Adaptive to Perceptual Distortion Severity
50
No-Reference Image Quality Assessment in the Spatial Domain
51
Analysis of Public Image and Video Databases for Quality Assessment
52
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
53
The TUM high definition video datasets
54
Unsupervised feature learning framework for no-reference image quality assessment
55
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
56
Temporal hysteresis model of time varying subjective video quality
57
LIBSVM: A library for support vector machines
58
Study of Subjective and Objective Quality Assessment of Video
59
A Two-Step Framework for Constructing Blind Image Quality Indices
60
A DCT Statistics-Based Blind Image Quality Index
61
A H.264/AVC video database for the evaluation of quality metrics
62
ImageNet: A large-scale hierarchical image database
63
No-reference video quality evaluation for high-definition video
64
Visual Importance Pooling for Image Quality Assessment
65
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
66
Measurement of ringing artifacts in JPEG images
67
Image information and visual quality
68
An information fidelity criterion for image quality assessment using natural scene statistics
69
Reduced-reference image quality assessment using a wavelet-domain natural image statistic model
70
Image quality assessment: from error visibility to structural similarity
71
Video quality assessment based on structural distortion measurement
72
An objective method for combining multiple subjective data sets
73
No-reference quality metric for degraded and enhanced video
74
Measuring colorfulness in natural images
75
A no-reference perceptual blur metric
76
The serial position effect of free recall
77
CVD2014—A Database for Evaluating No-Reference Video Quality Assessment Algorithms
78
A Completely Blind Video Integrity Oracle
79
ViS3: an algorithm for video quality assessment via analysis of spatial and spatiotemporal slices
80
IVP subjective quality video database
81
VQEG HDTV phase I database
82
Visualizing Data using t-SNE
83
Fast and reliable structure-oriented video noise estimation
84
Course Project Final Report Blind Measurement of Blocking Artifact in Images
85
The statistics of natural images
86
It is still a very hard problem to predict UGC video quality on non-natural video contents: screen contents, animations, gaming, etc.