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Prazeres et al., 2022 - Google Patents

Quality evaluation of machine learning-based point cloud coding solutions

Prazeres et al., 2022

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Document ID
5670168615461023245
Author
Prazeres J
Rodrigues R
Pereira M
Pinheiro A
Publication year
Publication venue
Proceedings of the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis

External Links

Snippet

In this paper, a quality evaluation of three point cloud coding solutions based on machine learning technology is presented, notably, ADLPCC, PCC_GEO_CNN, and PCGC, as well as LUT_SR, which uses multi-resolution Look-Up Tables. Moreover, the MPEG G-PCC was …
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Classifications

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    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
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    • H04N19/136—Incoming video signal characteristics or properties
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    • H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
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