Perceptual Quality-of-Experience of Stereoscopic 3D Images and Videos

With the fast development of 3D acquisition, communication, processing and display technologies, automatic quality assessment of 3D images and videos has become ever important. Nevertheless, recent progress on 3D image quality assessment (IQA) and video quality assessment (VQA) remains limited. The purpose of this research is to investigate various aspects of human visual quality-of-experience (QoE) when viewing stereoscopic 3D images/videos and to develop objective quality assessment models that automatically predict visual QoE of 3D images/videos. Firstly, we create a new subjective 3D-IQA database that has two features that are lacking in the literature, i.e., the inclusion of both 2D and 3D images, and the inclusion of mixed distortion types. We observe strong distortion type dependent bias when using the direct average of 2D image quality to predict 3D image quality. We propose a binocular rivalry inspired multi-scale model to predict the quality of stereoscopic images and the results show that the proposed model eliminates the prediction bias, leading to significantly improved quality predictions. Second, we carry out two subjective studies on depth perception of stereoscopic 3D images. The first one follows a traditional framework where subjects are asked to rate depth quality directly on distorted stereopairs. The second one uses a novel approach, where the stimuli are synthesized independent of the background image content and the subjects are asked to identify depth changes and label the polarities of depth. Our analysis shows that the second approach is much more effective at singling out the contributions of stereo cues in depth perception. We initialize the notion of depth perception difficulty index (DPDI) and propose a novel computational model for DPDI prediction. The results show that the proposed model leads to highly promising DPDI prediction performance. Thirdly, we carry out subjective 3D-VQA experiments on two databases that contain various asymmetrically compressed stereoscopic 3D videos. We then compare different mixed-distortions asymmetric stereoscopic video coding schemes with symmetric coding methods and verify their potential coding gains. We propose a model to account for the prediction bias from using direct averaging of 2D video quality to predict 3D video quality. The results show that the proposed model leads to significantly improved quality predictions and can help us predict the coding gain of mixed-distortions asymmetric video compression. Fourthly, we investigate the problem of objective quality assessment of Multi-view-plus-depth (MVD) images, with a main focus on the pre- depth-image-based-rendering (pre-DIBR) case. We find that existing IQA methods are difficult to be employed as a guiding criterion in the optimization of MVD video coding and transmission systems when applied post-DIBR. We propose a novel pre-DIBR method based on information content weighting of both texture and depth images, which demonstrates competitive performance against state-of-the-art IQA models applied post-DIBR

Subjective quality assessment of multichannel audio accompanied with video in representative broadcasting genres

Immersive broadcasting applications have received a lot of attention in the last years. In this context, the development of advanced HDTV and 3DTV formats is being successfully adopted by the consumer market, having a strong impact in the way that traditional broadcasting contents are displayed to final users. Together with the above advances in video technology, multichannel spatial audio has also experienced a considerable impulse within the audiovisual industry. However, the need for specific production tools and loudspeaker setups corresponding to multiple competing audio formats seems to be an important factor affecting their adoption by the consumer community. Moreover, it is well-known that the perceived audio quality is highly influenced by the reproduction context, where the existing multimodal interaction between audio and video plays a very important role. This paper presents a formal evaluation of the perceived sound quality provided by several spatial audio formats accompanied with video in the context of television broadcasting. Stereo, advanced surround formats and 3D Binaural sound are evaluated considering a set of representative broadcasting contents (sports, movies, music and animation) to assess their impact on the perceptual attributes contemplated within the international recommendations.The Spanish Ministry of Economy and Competitiveness and FEDER supported this work under the projects TEC2012-37945- 1091 C02- 01/02.Cobos Serrano, M.; López Monfort, JJ.; Navarro Ruiz, JM.; Ramos Peinado, G. (2015). Subjective quality assessment of multichannel audio accompanied with video in representative broadcasting genres. Multimedia Systems. 21(4):363-379. doi:10.1007/s00530-013-0340-2S363379214Apostolopoulos, J., Chou, P., Culbertson, B., Kalker, T., Trott, M., Wee, S.: The road to immersive communication. Proc. 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