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We first extract the frame at the center of PU i, F C,0, and its adjacent frames, from F C,K to F C,−K. From these 2K+1 frames, the frame with the largest foreground, F L,0, will be picked as the anchor frame, which will be compared or matched with the frames in PU j.
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Behind them, simple fishing boats painted in pastels stood at anchor, framed against a placid azure sea that stretched away to a distant mountain range.
The B-frames are inserted between two consecutive anchor frames.
I-frame and P-frame are often referred to as anchor frames.
Then, we shift PU j ±8 frames, one frame at a time, and count the matched foreground pixels in the corresponding three anchor frames.
Q is set as 8 so that the three anchor frames can be slightly different from each other and contain the logo as well.
Furthermore, since the contents of consecutive frames may be similar, in order to increase the accuracy of synchronization, we also include the other two frames, F L,Q and F L,−Q, to form the three anchor frames for matching.
Consider the following example as shown in Fig. 2, IBBBBPBBBBPBBBBI here GOP (group of pixels) =15,M=5, and N=16, where M is the distance between two anchor frames (I or P) and N is the distance between two I-frames.
The ROI was re-anchored frame by frame following the same anatomical landmark in the basal fascia during all frames of the concentric phase.
The ROI was placed in the first frame of the loop registering the elevation and was subsequently re-anchored frame by frame in all frames of the concentric phase according to a certain acoustic pattern in the basal fascia that was used as a reference tag.
Human decision-making is prone to phenomena like anchoring, framing, status quo bias, and inertia.
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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