KEYWORDS: Video, Video compression, Image quality, Video processing, Motion estimation, Signal to noise ratio, Motion measurement, Image compression, Video coding, Quality measurement
Temporal fluctuation artifact is often observed in digitally compressed video. However, the fluctuation intensity
cannot be correctly measured by the traditional image/video quality metric, e.g., the peak signal-to-noise 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 difference 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.264/AVC 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.
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