METHOD AND APPARATUS FOR MEASURING VIDEO QUALITY USING AT LEAST ONE SEMI-SUPERVISED LEARNING REGRESSOR FOR MEAN OBSERVER SCORE PREDICTION
First Claim
1. Method for measuring video quality using a semi-supervised learning system for mean observer score prediction, said semi-supervised learning system comprising at least one semi-supervised learning regressor, said method comprising training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting, in the user interface, said at least one mean observer score prediction.
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Abstract
The invention is made in the technical field of video quality measurement. More precisely, the invention is related to mean observer score prediction using a trained semi-supervised learning regressor. That is, a method and apparatus for measuring video quality using a semi-supervised learning system for mean observer score prediction is proposed. Said semi-supervised learning system comprises at least one semi-supervised learning regressor and said method comprises training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting, in the user interface, said at least one mean observer score prediction. Doing so, prediction quality can be improved after re-training at least for the selection.
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Citations
17 Claims
- 1. Method for measuring video quality using a semi-supervised learning system for mean observer score prediction, said semi-supervised learning system comprising at least one semi-supervised learning regressor, said method comprising training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting, in the user interface, said at least one mean observer score prediction.
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9. Apparatus for video quality measurement, said apparatus comprising:
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a semi-supervised learning system for mean observer score prediction, said semi-supervised learning system comprising at least one semi-supervised learning regressor, a user interface for receiving a selection of test data upon presenting at least one mean observer score prediction, said at least one mean observer score prediction being determinable using test data and the learning system, wherein the semi-supervised learning system is re-trainable using said selection of the test data. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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Specification