Block Prediction Signaling for Efficient Image Decoding
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Solution Overview
Problem
Existing image encoding/decoding technologies face challenges in achieving enhanced coding efficiency, particularly in handling high-definition and stereoscopic image content, and there is a need for improved methods in skip and/or merge modes for predicting coding blocks.
Innovation Solution
The method involves decoding and encoding information on prediction methods for current blocks, including subblock merge, multi hypothesis prediction, and triangle partition prediction, with specific signaling orders to optimize coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple prediction methods are supported for coding blocks, then coding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic selection of prediction methods based on block characteristics and encoding conditions. The system adapts between skip mode, merge mode, and AMVP mode depending on motion complexity and block size, allowing the decoder to efficiently choose the most appropriate prediction method without permanently increasing hardware complexity
Solution Approach 2:
The patent changes parameters such as block size thresholds and motion vector differences to determine which prediction method to apply. By adjusting these parameters dynamically based on content characteristics, the system achieves high coding efficiency while keeping the decision logic manageable through standardized parameter comparisons
2Measurement precision
If advanced prediction techniques like triangle partition and multi-hypothesis prediction are used, then prediction accuracy is improved, but processing overhead increases
Solution Approach 1:
The patent applies triangle partition prediction by dividing a block into triangular regions and applying different prediction methods to each triangle. This segmentation allows higher prediction accuracy for blocks with directional motion patterns while keeping each triangular sub-region's processing relatively simple and efficient
Solution Approach 2:
The patent implements multi-hypothesis prediction where multiple prediction candidates are generated and evaluated, but only the best few are retained and transmitted. This partial action approach provides high prediction accuracy when needed while avoiding the excessive processing overhead of evaluating all possible hypotheses in every case
3Measurement precision
If prediction method information is signaled for skip and merge modes, then decoding accuracy is improved, but bitstream overhead increases
Solution Approach 1:
The patent extracts and signals only the essential prediction method identification information in skip and merge modes, separating this critical decoding information from less critical details. This allows the decoder to accurately reconstruct the prediction method used while minimizing the bitstream overhead by transmitting only the necessary identification data
Data Source
AI summary
Disclosed herein are an image decoding method, an image decoding apparatus, an image encoding method, an image encoding apparatus and a computer-readable recording medium. An image decoding method according to the present invention may include: decoding information on a prediction method of a current block; based on the information on the prediction method, determining a prediction method of the current block; and generating a prediction block of the current block by performing prediction for the current block based on the determined prediction method. Herein, the information on the prediction method of the current block may include at least one of information on subblock merge, information on MMVD, information on multi hypothesis prediction, and information on partition prediction.