A basic multimedia quality model

This paper describes two experiments designed to develop a basic multimedia predictive quality metric. In Experiment 1, two head and shoulder audio-video sequences were used for test material. Experiment 2 used one of the head and shoulder sequences from Experiment 1 together with a different, high-...

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Published inIEEE transactions on multimedia Vol. 6; no. 6; pp. 806 - 816
Main Author Hands, D.S.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.12.2004
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract This paper describes two experiments designed to develop a basic multimedia predictive quality metric. In Experiment 1, two head and shoulder audio-video sequences were used for test material. Experiment 2 used one of the head and shoulder sequences from Experiment 1 together with a different, high-motion sequence. In both experiments, subjects assessed the audio quality first, followed by the video quality and finally a third test evaluated multimedia quality. The results of these studies found that human subjects integrate audio and video quality together using a multiplicative rule. A regression analysis using the subjective quality test data from each experiment found that: 1) for head and shoulder content, both modalities contribute significantly to the predictive power of the resultant model, although audio quality is weighted slightly higher than video quality and 2) for high-motion content, video quality is weighted significantly higher than audio quality.
AbstractList This paper describes two experiments designed to develop a basic multimedia predictive quality metric. In Experiment 1, two head and shoulder audio-video sequences were used for test material. Experiment 2 used one of the head and shoulder sequences from Experiment 1 together with a different, high-motion sequence. In both experiments, subjects assessed the audio quality first, followed by the video quality and finally a third test evaluated multimedia quality. The results of these studies found that human subjects integrate audio and video quality together using a multiplicative rule. A regression analysis using the subjective quality test data from each experiment found that: 1) for head and shoulder content, both modalities contribute significantly to the predictive power of the resultant model, although audio quality is weighted slightly higher than video quality and 2) for high-motion content, video quality is weighted significantly higher than audio quality.
Author Hands, D.S.
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SubjectTerms Bit rate
Communication industry
Context-aware services
Human
Humans
Materials testing
Mathematical models
Multimedia
Multimedia communication
objective measurement
perceptual quality
Performance evaluation
Power system modeling
Predictive models
Regression analysis
Resultants
Shoulders
Title A basic multimedia quality model
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