Depth Based Perceptual Quality Assessment for Synthesised Camera Viewpoints

Ekmekcioǧlu, Erhan; Silva, Varuna De; Fernando, Anil; Kondoz, A.M.

doi:10.1007/978-3-642-35145-7_10

Cited by 18 publications

(23 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Peak Signal to Perceptual Noise Ratio (PSPNR) [7] derived from PSNR, is the metric used by the 3D Video (3DV) group of MPEG. In [8], the authors proposed a new full reference metric that takes into consideration depth data and consequently the regions that are more likely to be distorted in the synthesis. The new framework is validated by its high correlation score with the perceptual-like metric Video Quality Metric (VQM) [9] results, and subjective assessments from 15 nonexpert observers.…”

Section: Introductionmentioning

confidence: 99%

Can 3D synthesized views be reliably assessed through usual subjective and objective evaluation protocols?

Bosc

Köppel

Pépion

et al. 2011

2011 18th IEEE International Conference on Image Processing

View full text Add to dashboard Cite

This paper addresses the problem of evaluating virtual view synthesized images in the multi-view video context. As a matter of fact, view synthesis brings new types of distortion. The question refers to the ability of the traditional used objective metrics to assess synthesized views quality, considering the new types of artifacts. The experiments conducted to determine their reliability consist in assessing seven different view synthesis algorithms. Subjective and objective measurements have been performed. Results show that the most commonly used objective metrics can be far from human judgment depending on the artifact to deal with

show abstract

Section: Introductionmentioning

confidence: 99%

Can 3D synthesized views be reliably assessed through usual subjective and objective evaluation protocols?

Bosc

Köppel

Pépion

et al. 2011

2011 18th IEEE International Conference on Image Processing

View full text Add to dashboard Cite

show abstract

“…The validation of the performances is achieved by synthesizing different viewpoints from distorted data: color views suffer two levels of quantization distortion; depth data suffer four different types of distortion (quantization, low pass filtering, borders shifting, and artificial local spot errors in certain regions). The study [53] shows that the proposed method enhances the correlation of PSNR and SSIM to subjective scores.…”

Section: Depth-aided Methodsmentioning

confidence: 88%

“…Ekmekcioglu et al [53] proposed a depth-based perceptual quality metric. It is a tool that can be applied to PSNR or SSIM.…”

Section: Depth-aided Methodsmentioning

confidence: 99%

Visual Quality Assessment of Synthesized Views in the Context of 3D-TV

Bosc¹,

Callet²,

Morin³

et al. 2012

3d-Tv System With Depth-Image-Based Rendering

View full text Add to dashboard Cite

“…The method uses a weighting function based on depth data at the target viewpoint, and a temporal consistency function to take the motion activity into account. The study 20 shows that the proposed method enhances the correlation of PSNR and SSIM to subjective scores.…”

Section: Introductionmentioning

confidence: 88%