Point Cloud Attribute Parsing via Mandatory Priority Segmentation

The patent segments the point cloud media into multiple attribute components (e.g., geometry, color, reflectivity, material properties) and assigns different priorities to each component. This allows the system to selectively parse and render components based on their importance and available resources, rather than processing all components uniformly, thereby improving parsing efficiency while maintaining rendering quality for critical components.

The patent applies local quality by differentiating the processing quality and priority of different attribute components based on their specific importance to the overall rendering. Critical components like geometry are parsed with high priority and full detail, while less critical components are processed with lower priority or reduced detail, optimizing the balance between rendering quality and parsing efficiency.

The patent implements preliminary action by pre-assigning priority levels to different attribute components before parsing begins. This allows the system to immediately start parsing high-priority components without waiting for lower-priority components, achieving fast initial rendering. The priority assignment is done in advance, enabling the system to make immediate decisions about parsing order and resource allocation.

The patent applies dynamics by allowing the parsing process to be adaptive and adjustable during runtime. The system can dynamically adjust the parsing of different components based on real-time factors such as network conditions, device performance, and user preferences, enabling fast initial rendering while continuing to parse remaining components in the background without blocking the user experience.