The tremendous growth in 3D (stereo) imaging and display technologies has led to stereoscopic content (video and image) becoming increasingly popular. However, both the subjective and the objective evaluation of stereoscopic video content has not kept pace with the rapid growth of the content. Further, the availability of standard stereoscopic video databases is also quite limited. In this work, we attempt to alleviate these shortcomings. We present a stereoscopic video database and its subjective evaluation. We have created a database containing a set of 144 distorted videos. We limit our attention to H.264 compression artifacts. The distorted videos were generated using 6 uncompressed pristine videos of left and right views originally created by Ecole Polytechnique Federal De Lausanne (EPFL). The reference video sequences contain a good combination of texture, motion, depth information and we divided these videos into 2 groups based on depth information. Further, 19 subjects participated in the subjective assessment task. Based on the subjective study, we have formulated a conditional relation between the 2D and stereoscopic subjective scores as a function of compression rate and depth range. We have also evaluated the performance of popular 2D and 3D image/video quality assessment (I/VQA) algorithms on our database.
Balasubramanyam Appina, K Manasa, Sumohana S. Channappayya, "Subjective and Objective Study of the Relation Between 3D and 2D Views Based on Depth and Bitrate" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Stereoscopic Displays and Applications XXVIII, 2017, pp 145 - 150, https://doi.org/10.2352/ISSN.2470-1173.2017.5.SDA-371