Model-Based Video Prediction with Adaptive Template Clipping
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently compressing video data while maintaining quality, particularly in inter and intra prediction methods, due to inefficiencies in parameter derivation and redundancy handling.
Innovation Solution
Implementing adaptive clipping operations on template parameters in model-based prediction techniques for video encoding and decoding, which involve deriving parameter values based on clipped template samples and applying these to generate prediction samples, thereby optimizing compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If model-based prediction techniques are used to improve compression efficiency, then prediction accuracy is improved, but parameter derivation complexity increases
Solution Approach 1:
The patent applies clipping operations to constrain template parameter values within valid ranges, transforming the parameter derivation process. By clipping parameters to predefined minimum and maximum values, the method ensures mathematical validity while maintaining the benefits of model-based prediction, thus resolving the contradiction between improved compression efficiency and increased parameter derivation complexity
Solution Approach 2:
The patent converts the potential harm of unbounded or invalid parameter values into a benefit by applying clipping operations. Instead of allowing parameters to diverge or produce invalid results (which would worsen compression), the clipping operation guides parameters into valid ranges, improving prediction reliability and compression efficiency while managing the complexity through systematic parameter constraints
2Measurement precision
If template parameters are used in prediction models, then prediction accuracy is improved, but redundancy in parameter representation increases
Solution Approach 1:
The patent extracts only the essential and valid parameter information by applying clipping operations to remove redundant or invalid parameter values. By clipping parameters to meaningful ranges, the method eliminates parameter redundancy while preserving the predictive information necessary for accurate video compression, thus resolving the contradiction between prediction accuracy and parameter redundancy
3Reliability
If adaptive clipping operations are applied to templates, then parameter validity is improved, but processing complexity increases
Solution Approach 1:
The patent performs clipping operations as a preliminary step in the parameter derivation process, before using parameters for prediction. By pre-clipping template parameters to valid ranges, the method ensures parameter validity is established early, preventing subsequent computational errors and simplifying the overall processing pipeline, thus resolving the contradiction between parameter validity and processing complexity
Data Source
AI summary
A method includes receiving a bitstream of coded information for pictures. The coded information indicates a prediction of a current block using a model based prediction technique, the model based prediction technique generates a prediction sample of the current block based on a model with one or more reconstructed samples of a reference block being input to the model, the model includes one or more parameters derived based on a current template of the current block and a reference template of the reference block. The method also includes performing at least a clipping operation on at least one of the current template and the reference template to obtain clipped template samples; deriving one or more parameter values of the one or more parameters of the model according to the clipped template samples; and generating at least a prediction sample of the current block by the model.