Video-based fast dynamic point cloud coding method and system
An encoding method and fast encoding technology, applied in the field of encoding, can solve problems such as lack of research on video encoding, and achieve the effects of high encoding quality, improved efficiency, and fast encoding speed
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2021-04-02
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Abstract
Description
technical field
[0001] The invention relates to a video-based fast dynamic point cloud encoding method and system, belonging to the technical field of encoding. Background technique
[0002] With the advancement of 3D capture technology and the emergence of 3D devices, people pay more and more attention to the 3D representation of the real world. A point cloud is defined as a set of 3D points, where each point is represented as 3D coordinates and specific properties such as color, material reflection, etc. Point clouds are used as an efficient means to represent 3D surfaces of objects (such as people) and scenes, so they can be used in many 3D application scenarios, such as cultural heritage preservation, large-scale 3D dynamic maps, virtual reality, and immersive telepresence. According to the application scenarios, point clouds can be divided into three categories: static objects and scenes, dynamic objects and dynamic acquisition. The present invention mainly focuses on...
Examples
Embodiment Construction
[0033]The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0034] How to speed up the coding efficiency of geometry and attribute video? The resulting geometry and attribute videos are compressed using the HEVC encoding method. As is known, video frames in HEVC are divided into sequences of Coding Tree Units (CTUs). Each CTU has a quadtree structure, where the node is called a coding unit (CU). Furthermore, a prediction unit (PU) is introduced as a basic unit in predictive coding. In order to obtain the best coding performance, rate-distortion optimization (RDO) is used to select the best CTU structure and the best prediction mode. RDO is a computationally intensive process as it needs to iteratively execute the service pattern and traverse the CTU q...