The result of Golden Eye Test has come out shortly after the subjective tests for MCL-3D and MCL-V database finished, and six students won their awards according to their accurate observations on 3D images and video clips, respectively.
MCL-3D database has 9 image sets, each set has 77 images. In addition, there are 12 video sets in MCL-V database, and each set contains 9 video clips. Since we have collected 30 opinions scores for each set, there are 20790 opinion scores for MCL-3D database and 3600 for MCL-V database in total. Both databases will be released to public in short term.
For our future research, we will develop a stereoscopic image quality assessment algorithm on MCL-3D database for Samsung and an effective video quality assessment metric on MCL-V database for Netflix.