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Point cloud compression = technologies and standardization /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Point cloud compression/ by Ge Li, Wei Gao, Wen Gao.
Reminder of title:	technologies and standardization /
Author:	Li, Ge.
other author:	Gao, Wei.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xvii, 253 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Data compression (Computer science) -
Online resource:	https://doi.org/10.1007/978-981-97-1957-0
ISBN:	9789819719570

Point cloud compression = technologies and standardization /
Li, Ge.

Point cloud compressiontechnologies and standardization /[electronic resource] :by Ge Li, Wei Gao, Wen Gao. - Singapore :Springer Nature Singapore :2024. - xvii, 253 p. :ill. (chiefly col.), digital ;24 cm.

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.

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 compression technologies has become paramount. This book delves into the forefront of point cloud compression, exploring key technologies, standardization efforts, and future prospects. This comprehensive book uncovers the foundational concepts, data acquisition methods, and datasets associated with point cloud compression. By examining the fundamental compression technologies, readers can obtain a clear understanding of prediction coding, transform coding, quantization techniques, and entropy coding. Through vivid illustrations and examples, the book elucidates how these techniques have evolved over the years and their potentials for the future. To provide a complete picture, the book presents cutting-edge research methods in point cloud compression and facilitates comparisons among them. Readers can be equipped with an in-depth understanding of the latest advancements, and can gain insights into the various approaches employed in this dynamic field. Another distinguishing aspect of this book is its exploration of standardization works for point cloud compression. Notable standards, such as MPEG G-PCC, AVS PCC, and MPEG V-PCC, are thoroughly illustrated. By delving into the methods used in geometry-based, video-based, and deep learning-based compression, readers become familiar with the latest breakthroughs in the standard communities.

ISBN: 9789819719570

Standard No.: 10.1007/978-981-97-1957-0doiSubjects--Topical Terms:

664509
Data compression (Computer science)

LC Class. No.: QA76.9.D33

Dewey Class. No.: 005.746

Point cloud compression = technologies and standardization /
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505 0 $a 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.
520 $a 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 compression technologies has become paramount. This book delves into the forefront of point cloud compression, exploring key technologies, standardization efforts, and future prospects. This comprehensive book uncovers the foundational concepts, data acquisition methods, and datasets associated with point cloud compression. By examining the fundamental compression technologies, readers can obtain a clear understanding of prediction coding, transform coding, quantization techniques, and entropy coding. Through vivid illustrations and examples, the book elucidates how these techniques have evolved over the years and their potentials for the future. To provide a complete picture, the book presents cutting-edge research methods in point cloud compression and facilitates comparisons among them. Readers can be equipped with an in-depth understanding of the latest advancements, and can gain insights into the various approaches employed in this dynamic field. Another distinguishing aspect of this book is its exploration of standardization works for point cloud compression. Notable standards, such as MPEG G-PCC, AVS PCC, and MPEG V-PCC, are thoroughly illustrated. By delving into the methods used in geometry-based, video-based, and deep learning-based compression, readers become familiar with the latest breakthroughs in the standard communities.
650 0 $a Data compression (Computer science) $3 664509
650 1 4 $a Coding and Information Theory. $3 891252
650 2 4 $a Virtual and Augmented Reality. $3 3599064
650 2 4 $a Multimedia Information Systems. $3 892521
650 2 4 $a Computer Vision. $3 3538524
650 2 4 $a Computer Graphics. $3 892532
650 2 4 $a Image Processing. $3 891209
700 1 $a Gao, Wei. $3 1073960
700 1 $a Gao, Wen. $3 1071236
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773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-97-1957-0
950 $a Computer Science (SpringerNature-11645)