9. Apparatus for video quality measurement, said apparatus comprising: 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.
9. Apparatus for video quality measurement, said apparatus comprising: 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. 11. The Apparatus of claim 9 adapted for retraining the learning system using said selection together with training data, said training data being used for training the learning system, also, wherein contribution of the selection and the training data for re-training is controlled by weight factors.