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 in | IEEE transactions on multimedia Vol. 6; no. 6; pp. 806 - 816 |
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Main Author | |
Format | Journal Article |
Language | English |
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. |
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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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References | ref13 ref12 ref15 Macdiarmid (ref20) 1982; 192 ref10 ref2 Rihs (ref11) 1995 (ref17) 1996 ref24 ref23 ref25 ref22 ref21 (ref19) 1995 Anderson (ref18) 1981 Beerends (ref1) 1992; 40 ref8 ref7 Beerends (ref14) 1999; 47 ref4 ref3 ref6 (ref16) 2000 Soh (ref5) 2001; 11 Yahya (ref9) 1999; 12 |
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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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