VVC Intra Prediction Block Sizing Without Up-Sampling
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Solution Overview
Problem
The current Versatile Video Coding (VVC) standard requires significant computational resources and storage space for matrix-based Intra Prediction (MIP) due to the need for deriving prediction blocks with smaller sizes than the current block, necessitating an up-sampling process.
Innovation Solution
A method is introduced to determine a suitable MIP size identifier such that the MIP prediction block matches the current block size, eliminating the need for up-sampling and reducing computational complexity by deriving MIP predictions directly at the same size as the current block.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If matrix-based Intra Prediction is implemented with smaller prediction block sizes, then prediction accuracy is improved, but computational complexity and storage requirements increase
Solution Approach 1:
The patent changes the parameter of prediction block size by setting it equal to the current block size (N×N) instead of using smaller sizes. This parameter change eliminates the need for up-sampling operations while maintaining the benefits of matrix-based prediction, thus reducing computational complexity without sacrificing prediction accuracy.
Solution Approach 2:
The patent extracts and removes the up-sampling operation from the MIP processing pipeline. By directly deriving the prediction block at the same size as the current block, the patent eliminates the unnecessary up-sampling step, thereby reducing computational burden and storage requirements while maintaining prediction quality.
2Measurement precision
If matrix-based Intra Prediction uses smaller prediction block sizes, then prediction quality improves, but storage space requirements increase
Solution Approach 1:
The patent changes the storage requirement parameter by setting the prediction block size equal to the current block size. This eliminates the need to store and process multiple smaller prediction blocks, thereby reducing storage space requirements while maintaining prediction quality through the matrix-based prediction approach.
Solution Approach 2:
The patent extracts and removes the up-sampling operation that previously required additional storage space. By directly deriving predictions at the original block size, the patent eliminates the temporary storage needs associated with up-sampling, thus reducing overall storage requirements without compromising prediction quality.
3Shape
If up-sampling process is used in MIP, then prediction block size matches current block size, but encoding and decoding efficiency decreases
Solution Approach 1:
The patent extracts and removes the up-sampling operation from the MIP processing pipeline. By directly deriving the prediction block at the same size as the current block, the patent eliminates the up-sampling step, thereby improving encoding and decoding efficiency without compromising the ability to produce correctly sized prediction blocks.
Solution Approach 2:
The patent changes the fundamental parameter of prediction block size generation by setting it equal to the current block size, eliminating the need for up-sampling operations. This parameter change directly improves processing efficiency while maintaining the required output dimensions for accurate prediction.
Data Source
AI summary
A method for decoding a picture, a method for encoding a picture, an encoder, and a decoder are provided. The method for encoding a picture includes (i) determining a width and a height of a coding block in the picture; (ii) if the width and the height are equal to N, where N is a positive integer power of 2, determining a matrix-based intra prediction (MIP) size identifier indicating that an MIP prediction size equal to N; (iii) deriving a group of reference samples of the coding block; and (iv) deriving an MIP prediction of the coding block based on the group of reference samples and an MIP matrix corresponding to the MIP size identifier.