Media Encoder Validation Using a Unified Reference Feedback Loop
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Solution Overview
Problem
Conventional encoder validation systems rely on external reference codec tools and helper functions, which are limited to a single type of video codec, leading to time-consuming and complex validation processes due to the need for multiple tools and iterations.
Innovation Solution
A validation framework that eliminates the need for external reference codec tools by using a software-based feedback loop to train a reference model, which generates encoder parameters and validates encoder hardware through a dual-purpose feedback loop for training and validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external reference codec tools are used for encoder validation, then validation accuracy is ensured, but device complexity and validation time increase due to the need for multiple tools and iterations
Solution Approach 1:
The patent merges the reference codec tool functionality directly into the encoder hardware validation system by implementing a reference model that generates expected encoder parameters and output bitstreams. This integration eliminates the need for separate external reference tools while maintaining validation accuracy through the same reference-based comparison mechanism.
Solution Approach 2:
The validation system achieves universality by implementing a single reference model that can validate multiple encoder hardware devices across different video codecs. The reference model serves multiple functions: generating encoder parameters, producing expected output bitstreams, and comparing against actual encoder output, thereby eliminating the need for multiple specialized validation tools.
2Adaptability or versatility
If multiple reference codec tools are required for different codecs, then validation coverage is improved, but validation time and process complexity increase
Solution Approach 1:
The reference model is designed with universality to support multiple video codecs through a single unified structure. It dynamically adapts to different codecs by receiving codec-specific parameters and generating corresponding expected outputs, enabling validation of H.264, H.265, and other codecs without requiring separate validation tools for each codec type.
Solution Approach 2:
The validation system employs dynamic adaptability where the reference model can adjust its behavior based on the specific codec being validated. The system dynamically generates appropriate encoder parameters and expected bitstream outputs based on the codec type, allowing efficient validation across multiple codecs without manual tool switching or reconfiguration.
3Reliability
If reference codec tools constrain validation capabilities, then tool availability is ensured, but validation flexibility and coverage are reduced
Solution Approach 1:
The encoder hardware validation system performs self-service by incorporating the reference model directly within the validation architecture. The system generates its own expected outputs and comparison data internally through the reference model, eliminating dependency on external reference tools while maintaining reliability. This self-contained approach enhances validation flexibility as the system can adapt to various validation scenarios without external tool constraints.
Data Source
AI summary
This disclosure describes a validation framework for media encode systems. An example method may include generating, by a system associated with a video encoder simulation model, a first set of video encoding parameters. The example method may also include generating, by the system associated with the video encoder simulation model, a second set of video encoding parameters. The example method may also include sending the second set of video encoding parameters to an encoder device. The example method may also include receiving, by a second device, the first output. The example method may also include receiving, by the second device, a second output, wherein the second output represents second encoded video content generated by the encoder device based on the second set of video encoding parameters. The example method may also include performing a validation of the encoder device by comparing the first output and the second output.