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New Challenges in Point Cloud Visual Quality Assessment: A Systematic Review (Dataset)
This dataset is a collection of annotated information on the scientific papers screened and analyzed for the systematic review of the literature in Point Cloud Visual Quality Assessment. The data is structured as follows: General information Document title Authors Year of publication Venue (Confere...
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Main Authors: | , , |
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Format: | Dataset |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | This dataset is a collection of annotated information on the scientific papers screened and analyzed for the systematic review of the literature in Point Cloud Visual Quality Assessment.
The data is structured as follows:
General information
Document title
Authors
Year of publication
Venue (Conference or Journal title)
Citations (number)
URL/DOI
About the content
Content Type: Point clouds (PC), Colored Point clouds (CPC), Meshes, Dynamic Point Clouds (DPC)
Content source: Source of the content used in a subjective QA test or the evaluation of one or more QA metrics
About metric benchmarks
Subjective Ground-truth Data: Dataset(s) Source of the subjective scores used as ground-truth in a QA metric benchmark
Assessed Metrics: Types of metrics assessed in a benchmark (JPEG standards, IQM, NR, State-of-the-art, others)
Performance Measures: PLCC, SROCC, KRCC, RMSE, OR, others
About Objective QA metrics
Metric: Name given to the metric introduced in this paper
Base: 3D-based or Projection-based
Categories: Categories that characterize the approach of the proposed metric (Feature-based, Learning-Based, Perceptual-based, IQM, others)
Reference: Full-Reference (FR), Reduced-Reference (RR) or No-Reference (NR)
About Subjective QA experiments
Display: Type of display (2D, 3D, AR, MR, VR) and interaction approach (passive, interactive, 3DoF, 6DoF) used in the described experiment.
Rendering: Type of rendering used to display the stimuli (Points, Squares, Cubes, Surface)
Lab/Remote: The experiment was run in one or more lab environments, or remotely (Lab, Cross-Lab, Remote)
Rating: Subjective rating methodology used in the experiment (ACR, DSIS, PWC, others)
Dataset: Name of the new subjective dataset if the experiment's results were published.
Observers: Number of observers
Distortion type: Types of distortions applied to the stimuli and assessed in the experiment |
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ISSN: | 2673-8198 2673-8198 |
DOI: | 10.5281/zenodo.13992558 |