Encoding Efficiency and Computational Cost Assessment of State-Of-The-Art Point Cloud Codecs

Gonçalves, Mateus; Agostini, Luciano; Palomino, Daniel; Porto, Marcelo; Corrêa, Guilherme

doi:10.1109/icip.2019.8803524

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…There are many studies conducted for the quality assessment of polygonal meshes [20]- [23] and point clouds [10]- [15]. Nevertheless, only some of these studies considered the stateof-the-art compression methods in a way which can be beneficial for a VV setting.…”

Section: Related Workmentioning

confidence: 99%

“…These studies provide some insightful results even though they consider static 3D models. On the other hand, studies considering the QA of VVs (i.e., time-sequences of either meshes or point clouds) are rather limited [14], [15]. Zerman et al [14] used two VVs and considered TMC2 (i.e., V-PCC), also creating an initial subjective VV quality database.…”

Section: Related Workmentioning

confidence: 99%

“…Especially, point cloud compression is a hot topic which attracts attention from researchers from academia and industry [6], [7], including JPEG [8] and MPEG [9] communities. In parallel, scientists also try to understand how perception and quality assessment (QA) change for this new immersive visual media [10]- [15]. Nevertheless, currently, there are no publicly available large QA databases for VV which can be used for understanding of QA for VV.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression

Zerman

Özçinar

Gao

et al. 2020

2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

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Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression

Zerman

Özçinar

Gao

et al. 2020

2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)

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“…Although video codec agnostic, TMC2 adopts the HEVC Test Model (HM) [6] as the default codec. The known huge complexity of HM [7] contributes directly to the complexity of TMC2 [8]. Nonetheless, the steps apart from the video codec must be tailored for speed, as V-PCC may take advantage of existing embedded video codecs, i.e., real-time hardware accelerators.…”

Section: Introductionmentioning

confidence: 99%

Memory-Friendly Segmentation Refinement for Video-Based Point Cloud Compression

Seidel

Freitas

Dorea

et al. 2021

2021 IEEE International Conference on Image Processing (ICIP)

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Recently finalized, the MPEG Video-based Point Cloud Compression (V-PCC) standard leverages existing video codecs to compress point clouds. This approach relies on existing video coding hardware accelerators to enable its fast adoption. However, the processing steps to project 3D point clouds into 2D frames still have a considerable complexity. Thus, we propose two modifications to TMC2, V-PCC's test model, considering the memory access pattern: one reducing unnecessary memory allocation and the other increasing data locality through a set of pre-processing steps. Our approach achieved up to 46.31% encoding self-time reduction without changing the resulting bitstream. This paper also provides an analysis of our implementation that may help future V-PCC codecs achieve real-time encoding.

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“…Due to the high efficiency of the 2-D video compression standard, the coding efficiency of the V-PCC is very high. It is shown in one recent work that the static dense point cloud can be also coded efficiently using V-PCC [10]. The third group of works is the predictionbased method mainly designed for the sparse point cloud attribute.…”

Section: Introductionmentioning

confidence: 99%

Video-based compression for plenoptic point clouds

Li¹,

Li²,

Liu³

et al. 2019

Preprint

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The plenoptic point cloud that has multiple colors from various directions, is a more complete representation than the general point cloud that usually has only one color. It is more realistic but also brings a larger volume of data that needs to be compressed efficiently. The state-of-the-art method to compress the plenoptic point cloud is an extension of the region-based adaptive hierarchical transform (RAHT). As far as we can see, in addition to RAHT, the video-based point cloud compression (V-PCC) is also an efficient point cloud compression method. However, to the best of our knowledge, no works have used a videobased solution to compress the plenoptic point cloud yet. In this paper, we first extend the V-PCC to support the plenoptic point cloud compression by generating multiple attribute videos. Then based on the observation that these videos from multiple views have very high correlations, we propose encoding them using multiview high efficiency video coding. We further propose a block-based padding method that unifies the unoccupied attribute pixels from different views to reduce their bit cost. The proposed algorithms are implemented in the V-PCC reference software. The experimental results show that the proposed algorithms can bring significant bitrate savings compared with the state-of-the-art method for plenoptic point cloud compression.

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Encoding Efficiency and Computational Cost Assessment of State-Of-The-Art Point Cloud Codecs

Cited by 7 publications

References 20 publications

Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression

Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression

Memory-Friendly Segmentation Refinement for Video-Based Point Cloud Compression

Video-based compression for plenoptic point clouds

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