The invention discloses a video quality evaluation method and device, a video processing device and a medium. The video quality evaluation method comprises the following steps: constructing a trainingdata set of an evaluation model to be used for a neural network system, wherein the training data set comprises manual annotation data and user click rate data; an attribute feature obtaining step: for each sample in the training data set, obtaining each attribute feature, related to the video attribute data, of each sample through a neural network system; a feature synthesis step: for each sample, performing feature synthesis processing on each attribute feature of the sample to obtain a synthesis feature of the sample; and a training step: performing confrontation training on the syntheticfeatures of each sample by combining the manual annotation task and the user click rate task, and generating an evaluation model for evaluating the video quality. According to the video quality evaluation model provided by the invention, a more accurate and effective evaluation result can be obtained for a new video or an exposed video.