A Perceptual Metric for Evaluating Quality of Synthesized Sequences in 3DV System 3D Video system based on DepthImageBased Rendering relies on high quality depth data. Errors distributed randomly in depth map sequences induce annoying temporal noise, such as flickering and object shifting. Prior studies on video quality assessment focused mainly on spatial quality of the tested sequence and often ignored its temporal performance. In synthesized sequences, a large number of tiny geometric distortions and illumination differences are temporally constant and perceptually invisible. The dynamic noise impairs subjective quality of the sequences more greatly than the static spatial noise. Temporal quality plays a dominant role in overall quality assessment on the synthesized sequences with temporal instability problem. We propose a simple fullreference metric, Peak Signal to Perceptible Temporal Noise Ratio, to evaluate quality of synthesized sequences by measuring the perceptible temporal noise in them.

Video Quality Metric for Temporal Fluctuation Measurement Temporal fluctuation artifact is often observed in digitally compressed video. However, the fluctuation intensity cannot be correctly measured by the traditional imagevideo quality metric, e.g., the peak signaltonoise ratio (PSNR), which only addresses on the quality of a single image. Although there are several metrics proposed for temporal fluctuation measurement, e.g., the sum of squared differences (SSD) and motion compensated SSD (MCSSD), these first differences based algorithms may falsely treat a smoothly continuous change of pixels as the temporal fluctuation artifact. To overcome this problem, this contribution proposes a second difference based temporal metric, named the motion estimated mean scaled absolute second difference (MEMSASD). The performance of the MEMSASD is examined using a number of video sequences with varying degrees of temporal fluctuation, which are generated by an H.264AVC compliant codec. Compared with existing metrics such as the PSNR, the SSD and the MCSSD, the results of the proposed metric better reflect the temporal fluctuation intensity.