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024 7 _a10.1007/978-981-97-1957-0
_2doi
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050 4 _aQ350-390
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082 0 4 _a003.54
_223
100 1 _aLi, Ge.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9101818
245 1 0 _aPoint Cloud Compression
_h[electronic resource] :
_bTechnologies and Standardization /
_cby Ge Li, Wei Gao, Wen Gao.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVII, 253 p. 155 illus., 112 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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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 _a3D 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 _aCoding theory.
_94154
650 0 _aInformation theory.
_914256
650 0 _aVirtual reality.
_95677
650 0 _aAugmented reality.
_94768
650 0 _aMultimedia systems.
_911575
650 0 _aComputer vision.
_9101820
650 0 _aComputer graphics.
_94088
650 0 _aImage processing.
_97417
650 1 4 _aCoding and Information Theory.
_9101826
650 2 4 _aVirtual and Augmented Reality.
_936937
650 2 4 _aMultimedia Information Systems.
_931575
650 2 4 _aComputer Vision.
_9101830
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aImage Processing.
_97417
700 1 _aGao, Wei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9101831
700 1 _aGao, Wen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9101832
710 2 _aSpringerLink (Online service)
_9101834
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819719563
776 0 8 _iPrinted edition:
_z9789819719587
776 0 8 _iPrinted edition:
_z9789819719594
856 4 0 _uhttps://doi.org/10.1007/978-981-97-1957-0
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