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State of the Art
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Thesis
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Overview of the Dissertation
Contents
Index
Automatic Real-Time Multimedia Quality Evaluation
Subsections
State of the Art
Objective Speech Quality Measures
Bark Spectral Distortion (BSD)
Enhanced Modified BSD (EMBSD)
Perceptual Speech Quality Measure (PSQM)
PSQM+
Measuring Normalizing Blocks (MNB)
Perceptual Analysis Measurement System (PAMS)
ITU E-model
Objective Video Quality Techniques
ITS Video Quality Measure
EPFL Objective Video Quality Measures
Moving Pictures Quality Metric (MPQM)
Color Moving Pictures Quality Metric (CMPQM)
Normalization Video Fidelity Metric (NVFM)
Other Works in Objective Video Quality Measures
Multimedia Transport Protocols
Challenges of Multimedia Transmission
Working Around Loss
Error Concealment for Speech or Audio
Error Concealment for Video
Video Compression and Standard Codecs
Spatial or Block Coding
Temporal Coding
Standard Video Codecs
H.261 Video Coding
H.263 Video Coding
Overview of MPEG-1/2/4 Coding
Audio Compression and Codecs
Waveform Coding
Source Codecs
Hybrid Codecs
Standard Audio Codecs
Pulse Code Modulation (PCM)
Adaptive Differential Pulse Code Modulation (ADPCM)
CELP Codec
LPC codec
GSM Codec
Neural Networks
Artificial Neural Networks (ANN)
Random Neural Networks (RNN)
Descriptions of Our New Method in General
Introduction
Overview of the Method
More than one Media Type
Selecting the Parameters' Values
Subjective Quality Tests
Source Signal for Audiovisual Tests
Number of Subjects and their Selection
Instructions for Assessors (Subjects)
The Test Sessions
Subjective Quality Test Methods
Absolute Category Rating (ACR)
Degradation Category Rating (DCR)
The Double-Stimulus Continuous Quality-Scale method (DSCQS)
Comparison of the Methods
MOS Calculation and Statistical Analysis
On the Use of the Neural Networks
Comparison between ANN and RNN
Parameter Selection
Expected Use of Our Method
Possible Uses For Speech and Audio
Possible Uses for Video Applications
Operation Mode
Conclusions
Samir Mohamed 2003-01-08
