04545nam a22006735i 4500 978-981-97-1957-0 DE-He213 20251030112047.0 cr nn 008mamaa 240517s2024 si | s |||| 0|eng d 9789819719570 978-981-97-1957-0 10.1007/978-981-97-1957-0 doi QA268 Q350-390 GPJ bicssc GPF bicssc COM031000 bisacsh GPJ thema GPF thema Li, Ge. author. aut http://id.loc.gov/vocabulary/relators/aut 76967 Point Cloud Compression [electronic resource] : Technologies and Standardization / by Ge Li, Wei Gao, Wen Gao. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVII, 253 p. 155 illus., 112 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda -- 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. Coding theory. 65513 Information theory. 57783 Virtual reality. Augmented reality. 66815 Multimedia systems. 65569 Computer vision. Computer graphics. Image processing. Coding and Information Theory. 65515 Virtual and Augmented Reality. 66818 Multimedia Information Systems. 65572 Computer Vision. Computer Graphics. Image Processing. Gao, Wei. author. aut http://id.loc.gov/vocabulary/relators/aut 67348 Gao, Wen. author. aut http://id.loc.gov/vocabulary/relators/aut 76968 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819719563 Printed edition: 9789819719587 Printed edition: 9789819719594 https://doi.org/10.1007/978-981-97-1957-0 ZDB-2-SCS ZDB-2-SXCS 59930 59930