Sentence examples for distorted sequence from inspiring English sources
A better waterworks Allo, allo Zapping mosquitoes, and corruption Expanding care Everlasting light Ideas coming down the track Speed is the new stealth In praise of celestial mechanics Teaching old microphones new tricks Harnessing human computation ReprintsSo the pair came up with another idea: displaying a distorted sequence of letters and asking people to read them and type them into a box.
The difference scores were calculated by subtracting the score that the subject assigned to the distorted sequence to the score that the subject assigned to the reference sequence.
In practice, the displacement of each element of the distorted sequence is conditioned on the displacement of the element of the same sequence.
Figure 2 illustrates how the distorted sequences were generated.
In addition, PSNR results are only meaningful for comparison of distorted sequences showing the same content [4].
These quality metrics were performed either between the distorted sequences (fixed or adjustable sequences) and the original, undistorted sequences (for PSNR, VQM, MOVIE, and SSIM), or on the distorted sequences alone (for NRIQM), in order to objectively evaluate the quality of the fixed and adjustable sequences against the original versions.
The details of the packetization scheme and bit error handling are out of the scope of this article, but interested readers may refer to [1, 18]. Figure 2 Generation of the distorted sequences illustrated.
Since motion information is the most important clue in video, it can also be used to emphasize the degradation of spatial and temporal fidelity in the distorted video sequence in comparison to the original sequence.
However, PESQ is sufficiently accurate to assess bursty sparse packet loss patterns and distorted speech sequences subject to loss instances with duration less than 80 ms [15].
Note that the original and distorted speech sequences should be sampled at an equal frequency, i.e., either 8 or 16 kHz.
Herein, it is applied to find the optimal matching between the original and the distorted beat sequences, using normalized Hamming distance of chroma feature per frame as the similarity metric.
