Block Prediction Decoding with Adaptive TMRL Reference Lines
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Solution Overview
Problem
Existing digital video compression standards face challenges in reducing bandwidth and traffic pressure during video transmission, necessitating improved decoding performance to enhance efficiency.
Innovation Solution
Implementing a decoding method that determines a maximum line quantity of reference lines for a current block, decides on a template-based multiple reference line (TMRL) mode, and performs prediction using the allowed reference line and mode to obtain a prediction block.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If existing digital video compression standards are used, then video transmission can be performed, but bandwidth and traffic pressure cannot be reduced sufficiently
Solution Approach 1:
The patent changes the parameter of reference line quantity from fixed to variable, allowing the decoder to adaptively determine the maximum number of reference lines based on block characteristics. This enables more flexible prediction strategies that improve compression efficiency without sacrificing decoding performance
Solution Approach 2:
The patent introduces dynamic selection of prediction modes (TMRL mode) based on the determined maximum line quantity. The system dynamically adjusts whether to use template-based multiple reference line prediction or other prediction methods, optimizing the balance between compression efficiency and decoding performance for different video content
2Measurement precision
If more reference lines are used for prediction, then prediction accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies partial action by determining a maximum line quantity that is sufficient for achieving good prediction accuracy without using all available reference lines. This selective approach maintains prediction quality while reducing the computational burden of processing excessive reference data
Solution Approach 2:
The patent segments the prediction process by first determining the maximum line quantity, then based on that determination, selecting whether to apply the computationally intensive TMRL mode or simpler prediction methods. This segmentation allows the system to achieve high accuracy only when necessary
Data Source
AI summary
Embodiments of the present application provide a decoding method, an encoding method, a decoder, and an encoder. The decoding method comprises: determining a maximum line number of reference lines allowed to be used by a current block; on the basis of the maximum line number, determining whether the current block uses a template-based multiple reference line (TMRL) mode; if the current block uses the TMRL mode, determining a reference line used by the current block and a prediction mode used by the current block; on the basis of the reference line used by the current block, predicting the current block using the prediction mode used by the current block, to obtain a prediction block.