Point Cloud Attribute Prediction Using Reference Frame Units
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Solution Overview
Problem
Existing point cloud compression technologies, such as G-PCC and V-PCC, fail to effectively remove attribute redundancy between neighboring frames, leading to low attribute encoding efficiency.
Innovation Solution
Implement a method that determines a reference unit in a current frame to predict attribute values based on attribute information from a reference frame, using a decoder and encoder with dedicated determining units and processors to execute the method, generating a bitstream with prediction mode identification and residual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If attribute inter prediction is performed using existing G-PCC or V-PCC technologies, then geometric information can be encoded separately, but attribute redundancy between neighboring frames cannot be effectively removed resulting in low attribute encoding efficiency
Solution Approach 1:
The patent performs preliminary actions by selecting and storing reference units from reference frames before encoding the current frame. The decoder determines reference units in advance based on to-be-processed units, and both encoder and decoder perform preliminary matching operations to identify optimal reference units, reducing the need for complex processing during actual encoding
Solution Approach 2:
The patent uses copying by selecting reference units from reference frames that contain similar attribute information and copying their attribute values to predict current frame attributes. The encoder copies attribute information from selected reference units, and the decoder reconstructs attribute values by copying from determined reference units, effectively removing redundancy through duplication of useful information
Data Source
AI summary
The embodiments of the present application provide a method for encoding and decoding. The method comprises: a codec determining a first reference unit corresponding to a to-be-processed unit in a reference frame corresponding to a current frame according to said unit in the current frame; and determining an attribute prediction value corresponding to said unit according to attribute information corresponding to the first reference unit.