Improved Patch Packing and Refining Segmentation for the V-PCC Standard

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Considering that the video-based point cloud compression (V-PCC) has serious issues of time consumption and the large size of the occupancy map; in this article, the authors propose the voxel selection-based refining segmentation (VS-RS) in order to accelerate the refining segmentation process of the point cloud, as well as the data-adaptive patch packing (DAPP) to reduce the size of the occupancy map. The advantages of using the method proposed are well validated/explained through the article, and the results clearly shown the significant reduction percentages of the encoding time and the size of the occupancy map by implementing the strategy presented. The article is well written/structured and its quality is high. Moreover, in general, figures and tables are clear. As far as the knowledge of the Reviewer, the results are published here for the first time. Therefore, I recommend this article to be published in present form. However, I recommend a couple of aspects, which can be take into account to improve the article:

 

* A schematic diagram to describe the DAPP-based methodology in Section 3.3 (like the one shown in Figure 3 for the proposed VS-RS) should be included.

 

* The size of the plots presented in Figure 11 should be increased.

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

Title: Improved Patch Packing and Refining Segmentation for the V-2 PCC Standard"

Based on my review of the manuscript, here are some suggested revisions to further strengthen the paper:

·         Introduction

The introduction could provide more background and motivation. Elaborate more on the importance and applications of point cloud compression.

Explain in more detail the limitations of current V-PCC methods that this paper aims to address.

·         Methodology

Provide more details on how the voxel selection algorithms work. The concepts of the Projection Uniformity Index and the Expanded Projection Uniformity Index could use more explanation.

Explain the patch sorting and positioning metrics in more intuitive terms. How exactly are Common Area Length and bounding box height used?

Include visuals like diagrams to illustrate the proposed methods better. This would help readers understand the voxel selection, patch sorting, and positioning.

·         Results & Discussion

Provide more analysis and interpretation of the results. What do the accuracy rates and determination rates indicate about the voxel selection method?

Discuss the tradeoffs in coding performance vs. encoding time savings. Is there an optimal balance?

Compare results not just to V-PCC but also to other related methods from the literature. How does the approach here compare?

 

Show visual results comparing the proposed technique to V-PCC. This would give an intuitive sense of the improvement.

Comments on the Quality of English Language

·         Quality of English Language

 

Overall, the quality of the English language in the paper is good. Some minor grammatical errors should be corrected (e.g., missing articles, incorrect prepositions). Carefully proofread the paper.

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

Dear authors,

I consider the manuscript to be a good-quality one since it presents rigorously a cutting-edge topic.

Nevertheless, before its acceptance, some minor issues should be solved, mainly regarding the bibliography format. Please check it out.

I'd prefer unoccupied rather than un-occupied.

The Related Work section should be enlarged. and, of course, the Conclusions section. The latter is definitely short and must be enlarged.

Use a comma to separate thousands.

Kind regards

 

 

Author Response

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Author Response File: Author Response.pdf