The assessment of visual experience plays an important role in stereoscopic 3D animation production. In practice

visual experience assessment heavily depends on subjective evaluation by professional cinematographers. In this paper

an assessment model combining visual features and subjective scores is proposed. Visual comfort and stereo effect are the main indicators in visual effect assessment. Based on the two indicators

disparity features of visual comfort and stereo effect of the input animation scenes are extracted. Then

the support vector regression method is used to obtain the mapping function of disparity features to visual comfort and the mapping function of disparity features to stereo effect assessment scores. Validation experiment results demonstrate that the proposed method can automatically predict the assessment of visual comfort and stereo effect through five-level scores. This method can reveal the relationship between visual features and subjective assessment scores

as well as visually and efficiently assist animation cinematographers in stereo adjustment.