Work

VQBA: Visual-Quality-Driven Bit Allocation for Low-Latency Point Cloud Streaming

Year: 2023

Type: conference-paper

Abstract: Video-based Point Cloud Compression (V-PCC) is an emerging standard for encoding dynamic point cloud data. With V-PCC, point cloud data is segmented, projected, and packed on to 2D video frames, which can be compressed using existing video coding standards such as H.264, H.265 and AV1. This makes it possible to support point cloud streaming via reliable video transmission systems. On the other hand, despite recent advances, many issues still remain and prevent V-PCC from being used in low-latency point cloud streaming. For instance, point cloud registration and patch generation can take a long time.

Source: ACM International Conference on Multimedia (ACM MM)

DOI: 10.1145/3581783.3612486

Authors: Shuoqian Wang, Mufeng Zhu, Na Li, Mengbai Xiao, Yao Liu

Institutions: Binghamton University, Rutgers, The State University of New Jersey, Shandong University

Language: English

Topic: Video Coding and Compression Technologies

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Awards: CAREER: System Research to Enable Practical Immersive Streaming: From 360-Degree Towards Volumetric Video Delivery, Collaborative Research: CNS Core: Small: From Capture to Consumption: System Challenges in Pervasive 360-Degree Video Sharing