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Perceptual Evaluation of Immersive Audiovisual Quality
Randy Frans Fela
Coding and Visual Communication
Department of Electrical and Photonics Engineering
Research output
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Book/Report
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Ph.D. thesis
64
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Dive into the research topics of 'Perceptual Evaluation of Immersive Audiovisual Quality'. Together they form a unique fingerprint.
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Weight
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Computer Science
Multimedia
100%
Prediction Model
33%
Spatial Audio
33%
Subjective Quality
33%
Quality Objective
33%
Machine Learning
16%
High Correlation
16%
Data Quality Assessment
16%
Subjective Data
16%
Evaluation Study
16%
Quantization
16%
Head Mounted Display
16%
Case Study
16%
Influencing Factor
16%
Collected Data
16%
Support Vector Machine
16%
Quality Assessment
16%
quality model
16%
Audiovisual Material
16%
Engineering
Assessor
100%
Design of Experiments
44%
Metrics
33%
Quality Assessment
22%
Full Factorial Design
22%
Subjective Quality
22%
Tasks
22%
Quality Objective
22%
Spatial Audio
22%
Bit Rate
11%
Quality Data
11%
Test Material
11%
Influencing Factor
11%
Collected Data
11%
Rate Video
11%
Multichannel
11%
Primary Goal
11%
Data Point
11%
Quantization
11%
Confidence Interval
11%
Support Vector Machine
11%
Mean Opinion Score
11%
Keyphrases
Naïve Assessors
33%
Audiovisual Media
16%
Human-centered Computing
16%
Multimedia Indexing
16%
Source Test
16%
Audio Playback
16%
Number of Assessors
16%
Viewing Experience
16%
Audiovisual Tasks
16%
Psychology
Case Study
100%