Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization

Ueno, Soushi; Fujihashi, Takuya; Koike‐Akino, Toshiaki; Watanabe, Takashi

doi:10.1109/icce53296.2022.9730509

Cited by 1 publication

(8 citation statements)

References 16 publications

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“…This study proposes a novel soft multicast scheme for point cloud delivery by extending our preliminary investigations [15], [16]. The proposed scheme adopts GFT, unequal power allocation, and near-analog modulation, motivated by HoloCast.…”

Section: Contributions Over Existing Studiesmentioning

confidence: 95%

“…The GFT-based operation can realize better energy compaction; however, HoloCast will cause a large communication overhead to exchange the GFT basis matrix. Overhead reduction methods [15], [16] have been proposed as a preliminary step to decrease the communication overhead.…”

Section: B Soft Deliverymentioning

confidence: 99%

“…This section further discusses the effect of the column order of the GFT basis matrix on the 3D reconstruction quality and communication overhead. For the comparison, the proposed scheme adopts the different quantization methods and column orders: uniform CDF-based [15], exponential CDF-based, power CDF-based [16], and two-phase hyperexponential CDF-based quantization after the GFT basis vectors are sorted in the ascending/descending order of the graph frequency.…”

Section: Effect Of Column Order Of Gft Basis Matrixmentioning

confidence: 99%

“…The proposed scheme is an extension of our previous studies [14]- [16]. Specifically, HoloCast in [14] integrated the energy compaction using GFT, unequal power allocation, and near-analog modulation to deliver the point cloud for multiple users.…”

Section: Introductionmentioning

confidence: 99%

“…However, the integration needs a large metadata overhead for the GFT. Givens rotation and uniform quantization were adopted in [15] and uniform quantization was extended to non-uniform quantization [16] for overhead reduction. This paper proposes stacked transmission of the angle parameters to yield adaptive 3D reconstruction quality according to the bandwidth available for each XR user.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Point Cloud Soft Multicast for Untethered XR Users

Ueno

Fujihashi

Koike‐Akino

et al. 2023

IEEE Trans. Multimedia

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3D point cloud data formats are used to express three-dimensional (3D) information using numerous points in a 3D space. A key challenge is the delivery of high-quality 3D point cloud for the users under a diverse channel quality and available bandwidth to share the same 3D space across multiple untethered extended reality (XR) users. The existing digital-based schemes suffer from two issues owing to the diversity: cliff and leveling-off effects. This paper proposes a novel soft multicasting scheme of point cloud data for untethered XR users. The key ideas of the proposed scheme are three-fold: 1) integration of graph signal processing and analog modulation to adaptively improve the 3D reconstruction quality according to the channel quality for all individual XR users, 2) integration of Givens rotation and nonuniform adaptive quantization to reduce metadata overhead for the graph Fourier transform, and 3) prioritized transmission of the metadata to realize adaptive quality improvement based on the bandwidth available for each XR user. This paper reveals that the proposed scheme prevents cliff and levelingoff effects even when the XR users experience different channel qualities. Furthermore, the proposed transmission exhibits better 3D reconstruction quality compared with the state-of-the-art graph-based delivery scheme in band-limited environments.

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Section: Contributions Over Existing Studiesmentioning

confidence: 95%

Section: B Soft Deliverymentioning

confidence: 99%

Section: Effect Of Column Order Of Gft Basis Matrixmentioning

confidence: 99%