Parameter Set Generation for Video Encoding Redundancy
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Solution Overview
Problem
Existing methods for generating parameter sets in image encoding and decoding, such as those used in High Efficiency Video Coding (HEVC), face inefficiencies due to redundant inclusion of common information across parameter sets, leading to increased data size and encoding complexity.
Innovation Solution
A method that identifies common information shared among lower parameter sets and strategically adds it to either the upper parameter set or specific lower parameter sets, using flags to indicate inclusion, thereby minimizing redundant encoding and optimizing data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If common information is included in each lower parameter set individually, then each parameter set is self-contained and complete, but the total data size increases due to redundancy
Solution Approach 1:
The patent merges common information from multiple lower parameter sets into a single upper parameter set. The encoder identifies information that is common across multiple lower parameter sets and places it in the upper parameter set, which is then referenced by all lower parameter sets. This eliminates redundant data while maintaining completeness through hierarchical referencing.
Solution Approach 2:
The upper parameter set serves as a universal container for common information that can be shared by multiple lower parameter sets. Instead of duplicating common information in each lower parameter set, the upper parameter set provides a multi-functional repository that any lower parameter set can reference, reducing overall data redundancy.
2Quantity of substance
If common information is extracted and placed in upper parameter set, then data redundancy is reduced, but the complexity of determining where to place information increases
Solution Approach 1:
The patent employs dynamic decision-making logic that adapts to the specific characteristics of the input data. The encoder dynamically determines whether to place common information in the upper parameter set or retain it in lower parameter sets based on the actual degree of commonality and referencing patterns, rather than following a rigid static rule.
Solution Approach 2:
The system incorporates feedback mechanisms where the encoder analyzes the actual usage patterns and commonality of information across parameter sets, then adjusts its placement decisions accordingly. This feedback-driven approach optimizes the balance between redundancy reduction and complexity management by learning from the specific data characteristics.
3Measurement precision
If more flags are added to indicate information placement, then the precision of information tracking improves, but the overhead in parameter set size increases
Solution Approach 1:
The patent applies partial action by selectively adding flags only where necessary to indicate information placement, rather than adding comprehensive flags for all possible scenarios. The system adds minimal sufficient markers to track common information placement without over-engineering the solution with excessive flagging mechanisms.
Data Source
AI summary
A method of generating a parameter set includes obtaining common information inserted into at least two lower parameter sets which belong to the same upper parameter set; determining whether the common information is to be added to at least one among the upper parameter set and the at least two lower parameter sets; and adding the common information to at least one among the upper parameter set and the at least two lower parameter sets, based on a result of the determining.