Point Cloud Geometry and Color Coding in a Learning-Based Ecosystem for JPEG Coding Standards
Author:
Affiliation:
1. Instituto de Telecomunicações,Portugal
2. ESTG – Politécnico de Leiria,Portugal
3. Instituto Superior Técnico – Universidade de Lisboa,Portugal
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222190.pdf?arnumber=10222190
Reference25 articles.
1. 2C-Net: integrate image compression and classification via deep neural network
2. Learning-based compression for material and texture recognition;deng,2021
3. Final call for proposals on JPEG Pleno point cloud coding;94th JPEG Meeting,2022
4. Final call for proposals for JPEG AI;94th JPEG Meeting,2022
5. An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC)
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1. Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression;EURASIP Journal on Image and Video Processing;2024-06-11
2. Adaptive bridge model for compressed domain point cloud classification;EURASIP Journal on Image and Video Processing;2024-06-08
3. Deep Learning-based Point Cloud Geometry Coding with Attention Models;2023 IEEE International Symposium on Multimedia (ISM);2023-12-11
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