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Peer-Review Record

An Unsupervised Video Stabilization Algorithm Based on Key Point Detection

Entropy 2022, 24(10), 1326; https://doi.org/10.3390/e24101326
by Yue Luan, Chunyan Han * and Bingran Wang
Reviewer 1: Anonymous
Reviewer 2:
Entropy 2022, 24(10), 1326; https://doi.org/10.3390/e24101326
Submission received: 24 July 2022 / Revised: 8 September 2022 / Accepted: 16 September 2022 / Published: 21 September 2022

Round 1

Reviewer 1 Report

The overall paper is interesting and presents a new method for a video stabilization algorithm. I think that Introduction and Related work parts should be improved: some statements about the comparison between traditional methods and DNN-based method are not supported by argument or cited references. The method proposed by the authors is rather well described and could be improved by given more details in the Accurate alignment part for example. Experiments and results support well the conclusion of the authors.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The notation is often confusing/inconsistant and typesetting is irregular. Sometimes it's M, sometimes M for the same object. v for point, but p for vector, i_2 or i2? There's some work to be done to uniformize typesetting in equations and also to name variables and constants. The attached pdf contains all the remarks.

Otherwise I think it's an interesting paper.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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