CONTENTS

 1     Scope
 2     References
        2.1     Normative references
        2.2     Informative references
 3     Terms, definitions and acronyms
 4     User requirements
 5     Description of the full reference measurement method
 6     Findings of the Video Quality Experts Group (VQEG)
 7     Conclusions
Appendix I - Full reference perceptual video quality measurement models
        I.1     Model descriptions
                  I.1.1     PSNR
                  I.1.2     CPqD
                  I.1.3     Tektronix/Sarnoff
                  I.1.4     NHK/Mitsubishi Electric Corp.
                  I.1.5     KDD
                  I.1.6     EPFL
                  I.1.7     NASA
                  I.1.8     KPN/Swisscom CT
                  I.1.9     NTIA
        I.2     References
Appendix II - CPqD Video quality assessment using objective parameters based on image segmentation
       II.1     Introduction
       II.2     Subjective assessment tests
                 II.2.1     Sessions of subjective evaluation
                 II.2.2     Natural scenes
                 II.2.3     Systems under test
       II.3     Objective measurements based on context
                 II.3.1     Video material used for objective evaluation
                 II.3.2     Spatial segmentation
                 II.3.3     Objective parameters
       II.4     Subjective quality estimation
                 II.4.1     Subjective quality estimation based on a single parameter: Logistic approximation
                 II.4.2     Subjective quality estimation: Linear prediction in three steps
                 II.4.3     Subjective quality estimation: Presentation and discussion of results
       II.5     Conclusions
       II.6     References
Appendix III - Tektronix/Sarnoff
      III.1     PQR objective picture quality rating in operational environments
      III.2     Pre-processing of video – Normalization
      III.3     System overview
      III.4     Algorithm overview
                III.4.1     Front end processing
                III.4.2     Luma processing
                III.4.3     Chroma processing
                III.4.4     Output summaries
      III.5     Correlation with subjective results
                III.5.1     Overview
                III.5.2     Video test set and processing
                III.5.3     Subjective evaluation
                III.5.4     Objective picture quality assessment
                III.5.5     Comparison of subjective and objective assessments
      III.6     References
Appendix IV - NHK/Mitsubishi Electric Corp.
       IV.1     Method of evaluating quality deterioration objectively
       IV.2     Human visual characteristics
                 IV.2.1     Spatial frequency response of visibility
                 IV.2.2     Frequency response of visibility depending on picture brightness
                 IV.2.3     Visual sensitivity depending on brightness
       IV.3     Realization of visual functions by digital filter
                 IV.3.1     Structure of the assessment system
                 IV.3.2     Brightness-adaptive 3D digital filter
                 IV.3.3     Adaptive spatial filter depending on picture brightness
                 IV.3.4     Volcano-shaped spatial frequency response
       IV.4     Example of assessment by the picture quality assessment system
       IV.5     Real-time picture quality assessment system
       IV.6     References
Appendix V - KDD Objective video quality assessment scheme and performance evaluation
        V.1     Scope
        V.2     Objective video quality assessment scheme
        V.3     Implementation
                  V.3.1     Synchronization module
                  V.3.2     Calculation module
        V.4     Verification results
        V.5     References
Appendix VI - EPFL
Appendix VII - NASA
      VII.1     Introduction
      VII.2     The DVQ metric
                VII.2.1     Input
                VII.2.2     Colour transformations
                VII.2.3     Blocked DCT
                VII.2.4     Local contrast
                VII.2.5     Temporal filtering
                VII.2.6     JND conversion
                VII.2.7     Contrast masking
                VII.2.8     Minkowski pooling
      VII.3     Evaluation
      VII.4     References
Appendix VIII - KPN/Swisscom CT
     VIII.1     Introduction
     VIII.2     References
Appendix IX - NTIA
       IX.1     Description of VQM algorithm
       IX.2     Spatial gradient parameters
       IX.3     Edge enhancement filters
       IX.4     S-T region size
       IX.5     Description of features
       IX.6     Impairment masking functions
       IX.7     Spatial collapsing function
       IX.8     Temporal collapsing functions
       IX.9     Three spatial gradient parameters
      IX.10     Chrominance parameter
      IX.11     VQM computation
      IX.12     Description of subjective data sets
      IX.13     Results
      IX.14     References