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As shown on Tables 1, 2, 3 and 4, the performance the proposed method improves with correlation between the neighboring frames.
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This is due to large displacement between the neighboring frame, with correlation value between them being 0.691.
Similar observation can be made from Fig. 8, as the correlation between the neighboring frame increases the PSNR value shows improvement.
While the motion search during the SIR process is conducted in the DC domain (i.e., between the PDWZ frame and the neighboring frames' DC component), motion compensation itself is performed in the pixel domain, after regaining the full image resolution.
Motion estimation is thus conducted between the PDWZ pixel domain frame and the neighboring frames without applying the DCT.
Therefore, depending on the speed of the capsule, some of the neighboring frames might contain high overlap or very small overlap between frames.
Moreover, it considers the interpolated frame during motion compensation along with the neighboring frames.
The sample sets A and B in this Jaccard Index calculation are the "neighboring frames" of X and the "neighboring frames" of Y, respectively.
H264/AVC intra I-I-I: Each frame is encoded independently from the neighboring frames without exploiting the spatial redundancy.
Therefore, we solely rely on motion information and neglect the segmentations of the neighboring frames.
By the frame-overlap, the LTV channel at the beginning and the end of the frame can be modeled and estimated accurately from the neighboring frames.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com