A human visual system-based 3D video quality metric

2017

3D Res

Self Cite

High Dynamic Range (HDR) displays and cameras are paving their ways through the consumer market at a rapid growth rate. Thanks to TV and camera manufacturers, HDR systems are now becoming available commercially to end users. This is taking place only a few years after the blooming of 3D video technologies. MPEG/ITU are also actively working towards the standardization of these technologies. However, preliminary research efforts in these video technologies are hammered by the lack of sufficient experimental data. In this paper, we introduce a Stereoscopic 3D HDR (SHDR) database of videos that is made publicly available to the research community. We explain the procedure taken to capture, calibrate, and post-process the videos. In addition, we provide insights on potential use-cases, challenges, and research opportunities, implied by the combination of higher dynamic range of the HDR aspect, and depth impression of the 3D aspect.

Section: Other Challengesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Introducing a Public Stereoscopic 3D High Dynamic Range (SHDR) Video Database

2017

3D Res

Self Cite

“…8. Rate-Distortion curves: PSNR at different bitrates for various frame rates, in four different levels of motion: a) High motion, b) Medium motion, c) Low motion, and d) Very low motion accepted that it does not show high correlation with the perceptual quality of 3D content [36][37][38][39][40]. For instance, as it is observed from Fig.…”

Section: Case Ii: 3d Quality Versus Frame Rate and Bitrate For Encodementioning

confidence: 99%

The Effect of Frame Rate on 3D Video Quality and Bitrate

Pourazad

Nasiopoulos

2014

3D Res

Self Cite

Increasing the frame rate of a 3D video generally results in improved Quality of Experience (QoE). However, higher frame rates involve a higher degree of complexity in capturing, transmission, storage, and display. The question that arises here is what frame rate guarantees high viewing quality of experience given the existing/required 3D devices and technologies (3D cameras, 3D TVs, compression, transmission bandwidth, and storage capacity). This question has already been addressed for the case of 2D video, but not for 3D. The objective of this paper is to study the relationship between 3D quality and bitrate at different frame rates. Our performance evaluations show that increasing the frame rate of 3D videos beyond 60 fps may not be visually distinguishable. In addition, our experiments show that when the available bandwidth is reduced, the highest possible 3D quality of experience can be achieved by adjusting (decreasing) the frame rate instead of increasing the compression ratio. The results of our study are of particular interest to network providers for rate adaptation in variable bitrate channels. 1 Index Terms -Stereoscopic video, high frame rates, 3D video quality of experience, bitrate.

“…Our proposed 3D quality metric for mobile devices is inspired by our previous study presented in [6]. Our metric takes into account the quality of individual views, the quality of the cyclopean view, as well as the quality of the depth map as follows:…”

Section: Proposed 3d Quality Metricmentioning

confidence: 99%

3D video quality metric for mobile applications

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Pourazad²,

Nasiopoulos

2013

Self Cite

In this paper, we propose a new full-reference quality metric for mobile 3D content. Our method is modeled around the Human Visual System, fusing the information of both left and right channels, considering color components, the cyclopean views of the two videos and disparity. Our method is assessing the quality of 3D videos displayed on a mobile 3DTV, taking into account the effect of resolution, distance from the viewers' eyes, and dimensions of the mobile display. Performance evaluations showed that our mobile 3D quality metric monitors the degradation of quality caused by several representative types of distortion with 82% correlation with results of subjective tests, an accuracy much better than that of the state-of-the-art mobile 3D quality metric.Index Terms-stereoscopic video, mobile 3DTV, quality metric, structural similarity, disparity map.