Signal Processing Metadata Correction for Video Tone and Colorimetry
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Solution Overview
Problem
Existing video signal processing technologies fail to correct errors in metadata, leading to inaccurate data being outputted to destination apparatuses, especially when the output apparatus does not support the specified tone characteristics or colorimetry.
Innovation Solution
A signal processing apparatus that includes a metadata correction unit to detect and correct errors in metadata based on analysis and user settings, ensuring accurate metadata insertion into the output signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional video converters manually overwrite metadata without error detection, then the operation is simple and fast, but metadata accuracy deteriorates when errors are present
Solution Approach 1:
The patent applies preliminary action by performing error detection on metadata before overwriting it. The metadata correction unit detects errors in transfer characteristics and colorimetry data before the manual overwriting process occurs, ensuring that only valid metadata is corrected or overwritten. This prevents propagation of erroneous metadata while maintaining the simplicity of manual user-specified overwriting.
2Measurement precision
If automatic metadata correction is implemented, then metadata accuracy improves, but processing time increases
Solution Approach 1:
The patent uses copying by creating and validating a correction candidate value before applying it to the metadata. The metadata correction unit generates a candidate correction value, validates it against error detection criteria, and only applies the correction if valid. This copying and validation approach ensures accuracy while minimizing processing time by avoiding unnecessary corrections.
3Reliability
If error detection and correction is added to metadata processing, then reliability improves, but device complexity increases
Solution Approach 1:
The patent applies self-service by enabling the metadata correction unit to automatically detect and correct its own errors without external intervention. The unit validates metadata against known error patterns and self-corrects transfer characteristics and colorimetry data when errors are detected, improving reliability while maintaining a relatively simple system architecture.
Data Source
AI summary
A signal processing apparatus includes one or more memories storing instructions, and one or more processors executing the instructions to acquire metadata from a video signal, detect an error of the metadata, and correct, in a case where the error has been detected, the error of the metadata.