18653180. Attribute Layers And Signaling In Point Cloud Coding simplified abstract (Huawei Technologies Co., Ltd.)
Contents
Attribute Layers And Signaling In Point Cloud Coding
Organization Name
Inventor(s)
Ye-Kui Wang of San Diego CA (US)
FNU Hendry of San Diego CA (US)
Vladyslav Zakharchenko of Santa Clara CA (US)
Attribute Layers And Signaling In Point Cloud Coding - A simplified explanation of the abstract
This abstract first appeared for US patent application 18653180 titled 'Attribute Layers And Signaling In Point Cloud Coding
The patent application describes a video coding mechanism that involves receiving a bitstream containing coded sequences of point cloud coding (PCC) frames representing various PCC attributes such as geometry, texture, reflectance, transparency, and normal, each represented by PCC network abstraction layer (NAL) units.
- The mechanism processes a bitstream with coded sequences of PCC frames.
- Each coded PCC frame represents different PCC attributes like geometry, texture, reflectance, transparency, and normal.
- The coded PCC frames are represented by PCC network abstraction layer (NAL) units.
- The innovation enables efficient coding and decoding of point cloud data with multiple attributes.
- This mechanism enhances the representation of complex point cloud scenes in video applications.
Potential Applications: - Video streaming services - Virtual reality and augmented reality applications - 3D modeling and animation software - Autonomous driving systems - Medical imaging technologies
Problems Solved: - Efficient coding and decoding of point cloud data with multiple attributes - Enhanced representation of complex point cloud scenes in video applications
Benefits: - Improved video quality and realism - Reduced bandwidth and storage requirements - Enhanced user experience in virtual environments - Better accuracy in medical imaging and autonomous driving systems
Commercial Applications: Title: Advanced Video Coding Mechanism for Enhanced Point Cloud Representation This technology can be used in various commercial applications such as video streaming services, virtual reality platforms, 3D modeling software, autonomous driving systems, and medical imaging technologies. It can improve video quality, reduce bandwidth requirements, and enhance user experiences in virtual environments.
Questions about Video Coding Mechanism: 1. How does the video coding mechanism improve the representation of point cloud data in video applications? The video coding mechanism enhances the representation of point cloud data by efficiently coding and decoding multiple attributes such as geometry, texture, reflectance, transparency, and normal, using PCC network abstraction layer (NAL) units.
2. What are the potential benefits of using this video coding mechanism in autonomous driving systems? Using this video coding mechanism in autonomous driving systems can improve the accuracy of point cloud data representation, leading to better object detection and recognition, ultimately enhancing the safety and efficiency of autonomous vehicles.
Original Abstract Submitted
A video coding mechanism is disclosed. The mechanism includes receiving a bitstream comprising a plurality of coded sequences of point cloud coding (PCC) frames. The plurality of coded sequences of PCC frames represent a plurality of PCC attributes including geometry, texture, and one or more of reflectance, transparency, and normal. Each coded PCC frame is represented by one or more PCC network abstraction layer (NAL) units.
