Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 4DAC: Learning Attribute Compression for Dynamic Point Clouds   With the development of the 3D data acquisition facilities, the increasing
scale of acquired 3D point clouds poses a challenge to the existing data
compression techniques. Although promising performance has been achieved in
static point cloud compression, it remains under-explored and challenging to
leverage temporal correlations within a point cloud sequence for effective
dynamic point cloud compression. In this paper, we study the attribute (e.g.,
color) compression of dynamic point clouds and present a learning-based
framework, termed 4DAC. To reduce temporal redundancy within data, we first
build the 3D motion estimation and motion compensation modules with deep neural
networks. Then, the attribute residuals produced by the motion compensation
component are encoded by the region adaptive hierarchical transform into
residual coefficients. In addition, we also propose a deep conditional entropy
model to estimate the probability distribution of the transformed coefficients,
by incorporating temporal context from consecutive point clouds and the motion
estimation/compensation modules. Finally, the data stream is losslessly entropy
coded with the predicted distribution. Extensive experiments on several public
datasets demonstrate the superior compression performance of the proposed
approach.

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The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
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The categories of this paper are: stat
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: solv-int
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The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
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The categories of this paper are: physics
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: nlin