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Point Cloud Compression Technologies and Standardization /

3D point clouds have broad applications across various industries and have contributed to advancements in fields such as autonomous driving, immersive media, metaverse, and cultural heritage protection. With the fast growth of 3D point cloud data and its applications, the need for efficient compress...

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Detalles Bibliográficos
Main Authors: Li, Ge (Author), Gao, Wei (Author), Gao, Wen (Author)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Subjects:
Coding theory.
Information theory.
Virtual reality.
Augmented reality.
Multimedia systems.
Computer vision.
Computer graphics.
Image processing.
Coding and Information Theory.
Virtual and Augmented Reality.
Multimedia Information Systems.
Computer Vision.
Computer Graphics.
Image Processing.
Acceso en liña:https://doi.org/10.1007/978-981-97-1957-0
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Table of Contents:
  • -- Chapter1. Introduction.
  • Chapter 2. Background Knowledge.
  • Chapter 3. Predictive Coding.
  • Chapter 4. Transform Coding.
  • Chapter 5. Quantization Techniques.
  • Chapter 6. Entropy Coding.
  • Chapter 7. MPEG Geometry-based Point Cloud Compression (G-PCC) Standard.
  • Chapter 8. AVS Point Cloud Compression Standard.
  • Chapter 9. MPEG Video-based Point Cloud Compression (V-PCC) Standard.
  • Chapter 10. MPEG AI-based 3D Graphics Coding Standard.
  • Chapter 11. Future Work.
  • Index.

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