Adaptive Prediction Function Groups for Image Coding
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Solution Overview
Problem
Existing image coding methods face inefficiencies in bandwidth usage due to the need to transmit identifiers for prediction functions, which increases with the size of the prediction function group, impacting video quality and bandwidth allocation.
Innovation Solution
Adaptive prediction function groups are determined autonomously at the encoder and decoder, with only an identifier for the selected function transmitted, optimizing prediction without increasing bandwidth by modifying prediction parameters based on coding context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the size of the prediction function group is increased to improve prediction quality, then the prediction quality is improved, but the bandwidth required for transmitting the identifier increases
Solution Approach 1:
The prediction function group is made dynamic and adaptive rather than static. The encoder and decoder autonomously adapt the group of usable prediction functions based on coding context, allowing the system to optimize prediction quality while controlling bandwidth usage by only transmitting identifiers for the adapted group rather than a large fixed group
Solution Approach 2:
The system changes the parameters of the prediction function group by adapting which functions are included in the usable group based on coding context. This allows the identifier to reference a smaller, context-optimized subset of functions, reducing bandwidth while maintaining prediction quality
2Measurement precision
If a large group of prediction functions is used to optimize prediction, then the prediction accuracy is improved, but the complexity of the system increases
Solution Approach 1:
The complete set of prediction functions is segmented into a smaller, context-adapted group that is actually usable. This segmentation reduces system complexity by eliminating unnecessary functions from consideration while maintaining the ability to access diverse prediction strategies when needed
Solution Approach 2:
The system dynamically adapts the prediction function group based on coding context, making the complexity manageable by only considering relevant functions for each coding situation rather than maintaining a large static set of all possible functions
Data Source
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AI summary
The invention relates to a method for transmitting part of an image, said method comprising, in an encoding phase: the analysis of an encoding context; the adaptation of a parameter of a group of prediction functions that can be used for the encoding; the formation of a first predicted descriptor by means of a selected prediction function; and the determination and transmission of a residue (ε) between the predicted descriptor and a current descriptor. The inventive method also has a decoding phase comprising: the analysis of a decoding context; the adaptation of a parameter of a group of prediction functions that can be used for the encoding; the formation of a second predicted descriptor (P*)by means of a selected prediction function; and the combination of the second predicted descriptor and the received residue for providing a decoded version (V*) of the current descriptor.