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.
3. Method according to claim 1 , said method comprises using training data used for training the learning system for re-training, also, wherein contribution of the selection and the training data for re-training is controlled by a first weight factor assigned to the selection and at least a different second weight factor assigned to the training data.