Point Cloud Compression: Technologies and Standardization

Author:   Ge Li ,  Wei Gao ,  Wen Gao
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2024
ISBN:  

9789819719563


Pages:   253
Publication Date:   18 May 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Point Cloud Compression: Technologies and Standardization


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Author:   Ge Li ,  Wei Gao ,  Wen Gao
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Nature
Edition:   1st ed. 2024
ISBN:  

9789819719563


ISBN 10:   9819719569
Pages:   253
Publication Date:   18 May 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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Author Information

Dr. Ge Li is a professor at the School of Electronic and Computer Engineering, Peking University, Shenzhen, China. He chairs the standardization of point cloud compression in the Audio Video Coding Standard (AVS) working group in China. His research interests include point cloud compression and its standardization, image/video processing and analysis, machine learning, and signal processing. Dr. Wei Gao is an assistant professor at the School of Electronic and Computer Engineering, Peking University, Shenzhen, China. His research interests include point cloud compression and processing, video coding and processing, deep learning, and artificial intelligence. Dr. Gao actively participates in standardization activities for multimedia compression, and leads the development of the open-source project for point cloud technologies, namely OpenPointCloud. He is a senior member of IEEE. Dr. Wen Gao is a professor at the School of Computer Science andthe Director of the National Engineering Research Center of Visual Technology, Peking University, Beijing, China. He is also the Director of Peng Cheng Laboratory, Shenzhen, China. His research encompasses multimedia and computer vision, focusing on areas such as video coding, video analysis, multimedia retrieval, face recognition, and multimodal interface. He is a fellow of IEEE, a fellow of ACM, and a member of Chinese Academy of Engineering.

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