Media Coding Parameter Mapping for Scenario-Specific Compression
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Solution Overview
Problem
Existing multimedia data coding methods use fixed coding parameters, which fail to account for varying quality requirements, leading to suboptimal coding performance.
Innovation Solution
A data processing method that adapts coding configuration templates to different service scenario types, determining a frame coding parameter based on a mapping relationship between service scenario types and coding configuration templates, and coding media data accordingly to improve efficiency and compression performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If fixed coding parameters are used for all multimedia data, then the coding process is simple and fast, but the coding performance and quality are suboptimal
Solution Approach 1:
The patent implements dynamic coding parameter selection by establishing a mapping relationship between different service scenario types and coding configuration templates. The system dynamically selects appropriate coding parameters based on the identified service scenario type of the media data, transforming the static fixed-parameter approach into a dynamic adaptive approach that optimizes coding performance for different scenarios.
Solution Approach 2:
The patent changes coding parameters according to service scenario types by maintaining multiple coding configuration templates with different parameter sets. Each template is associated with specific service scenario types, and the system selects and applies the appropriate template based on the media data's scenario type, thereby optimizing coding performance through parameter adaptation.
2Manufacturing precision
If different coding parameters are used for different multimedia data, then the coding performance and quality are improved, but the coding process becomes more complex
Solution Approach 1:
The patent performs preliminary classification of media data into different service scenario types before the coding process. By pre-establishing mapping relationships between service scenario types and coding configuration templates, the system prepares the appropriate coding parameters in advance, avoiding complex real-time parameter selection during coding and simplifying the overall process.
Solution Approach 2:
The patent introduces service scenario type as an intermediary layer between media data and coding parameters. This intermediary enables indirect selection of coding parameters through a structured mapping relationship, making the parameter selection process more systematic and manageable while improving coding quality through scenario-specific optimization.
3Productivity
If service scenario type adaptation is implemented, then coding efficiency and compression performance are enhanced, but the system complexity increases
Solution Approach 1:
The patent segments the coding system into distinct functional modules: service scenario type identification module, template selection module, and coding execution module. This segmentation allows each module to perform its specific function independently, improving coding efficiency through specialized processing while managing system complexity through modular architecture.
Solution Approach 2:
The patent creates a universal mapping relationship framework that can handle multiple service scenario types and their corresponding coding configurations through a single standardized mechanism. This universal approach allows the system to adapt to different scenarios without requiring separate specialized systems for each case, thereby improving efficiency while controlling complexity.
Data Source
AI summary
A data processing method includes: obtaining media data and a first service scenario type to which the media data belongs; obtaining, according to mapping relationships between at least two coding configuration templates in a configuration template set and at least two service scenario types, a first coding configuration template corresponding to the first service scenario type; determining a frame coding parameter of the media data according to the first coding configuration template; and coding the media data according to the determined frame coding parameter to obtain first media data.