Model-based optimized bit allocation for video-based 3D Point Cloud Compression
Event date:  February 10, 2020 10:00 AM  to 11:00 AM

Abstract:

To standardize 3D point cloud compression (PCC) technologies, the Moving Pictures Expert Group (MPEG) launched a call for proposals in 2017. As a result, three point cloud compression technologies were developed: surface point cloud compression (S-PCC) for static point cloud data, video-based point cloud compression (V-PCC) for dynamic point clouds, and LIDAR point cloud compression (L-PCC) for LIDAR point clouds. In V-PCC, the quality of the reconstructed 3D point cloud depends on both the geometry and color distortions. Finding an optimal allocation of the total bitrate between the geometry information and the color information is a challenging task due to the large number of possible solutions. The talk will introduce a method to efficiently solve this bit allocation problem. We first propose analytical distortion and rate models for the geometry and color information. Using these models, we formulate the joint bit allocation problem as a constrained optimization problem and solve it with an interior point method. Experimental results show that the rate-distortion performance of the proposed solution is close to that obtained with exhaustive search but at only 0.68% of its time complexity.

 

Biography: 

Raouf Hamzaoui received the MSc degree in mathematics from the University of Montreal, the Dr. rer. nat. degree from the University of Freiburg, and the Habilitation degree in computer science from the University of Konstanz. In 2006, he joined De Montfort University, Leicester, where he is a professor in media technology and head of the Signal Processing and Communications Systems research group. Raouf Hamzaoui has published 90 peer-reviewed research papers on multimedia communication, error control systems, pattern recognition, and machine learning. His publications have received international awards, including best paper awards and best student paper awards for joint work with his PhD students. He is on the Editorial Board of the IEEE Transactions on Multimedia after serving six years on the Editorial Board of the IEEE Transactions on Circuits and Systems for Video Technology, receiving two best Associate Editor awards. He is Workshops Co-Chair of the 2020 IEEE International Conference on Multimedia and Expo, was Technical Program Committee Co-Chair of the 2017 IEEE Multimedia Signal Processing Workshop, and served on the Technical Program Committee of many leading multimedia conferences such as NOSSDAV and ACM Multimedia.

 

URL: http://www.dmu.ac.uk/raoufhamzaoui

  

Location:

University of Konstanz, Powerwall Room C202

The talk will be transmitted to Stuttgart, VISUS, Powerwall Room, cellar

 

RTSP Stream:

rtsp://134.34.225.45/TRR161