Random-Shape Video Block Decoding With Mixed Prediction Modes
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Solution Overview
Problem
Existing video compression technologies face challenges in efficiently encoding and decoding video data due to increasing data volumes and the need for improved encoding efficiency and image quality, particularly with non-rectangular blocks and adaptive filtering processes.
Innovation Solution
The method involves partitioning current blocks into non-rectangular blocks for inter and intra prediction, determining block types based on syntax elements, and applying adaptive filtering by integrating sample adaptive offset and loop filtering processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only inter prediction is performed on non-rectangular blocks, then the decoding process is simple, but the encoding efficiency and image quality are insufficient
Solution Approach 1:
The current block is segmented into multiple non-rectangular blocks using triangular partition mode (TPM) or geometric partition mode (GPM). Each partitioned block can then be independently predicted using either intra or inter prediction, allowing flexible adaptation to different block characteristics and improving overall encoding efficiency.
Solution Approach 2:
The prediction mode (intra or inter) is dynamically selected for each partitioned non-rectangular block based on local characteristics. The decoder determines whether to apply intra prediction or inter prediction adaptively, allowing the system to optimize for each block while maintaining a relatively simple overall decoding structure.
2Productivity
If intra prediction is applied to non-rectangular blocks, then encoding efficiency improves, but the complexity of determining block types and applying filters increases
Solution Approach 1:
The sample adaptive offset (SAO) filtering process and adaptive loop filtering (ALF) process are merged into a unified filtering framework. This integration allows the system to handle both intra and inter predicted blocks through a combined filtering approach, reducing the overall complexity of determining and applying different filters while maintaining encoding efficiency.
Solution Approach 2:
Different filtering approaches are applied locally based on the prediction type of each block. Intra-predicted blocks use one filtering strategy while inter-predicted blocks use another, allowing optimal local processing without requiring complex global filtering logic.
3Measurement precision
If separate filtering processes are used for intra and inter blocks, then prediction accuracy is maintained, but bit efficiency decreases due to multiple flags
Solution Approach 1:
The deblocking filtering process is merged with the SAO and ALF processes into a unified filtering pipeline. This consolidation allows the system to maintain distinct filtering characteristics for intra and inter blocks while encoding all filtering decisions more efficiently, reducing the total number of separate flags needed and improving bit efficiency.
Data Source
AI summary
A method and a device for inversely transforming transform coefficients of a current block are disclosed. A method for predicting a current block according to a first mode, includes the steps of: on the basis of a partition mode syntax element, partitioning the current block into non-rectangular blocks; determining an intra-predicted intra block and an inter-predicted inter block among the non-rectangular blocks; and deriving prediction samples of a first area including the inter block on the basis of motion information, and deriving prediction samples of a second area including the intra block on the basis of an intra prediction mode.