Image File Metadata Segmentation for Accurate Re-estimation
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Solution Overview
Problem
Existing image processing techniques struggle to appropriately update estimation results when re-estimating images that do not include additional information such as sensor data, leading to incomplete or outdated results.
Innovation Solution
An image processing apparatus and method that generate image files with estimation results added as metadata, distinguishing between first and second estimation results based on data included and not included in the image file, respectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If estimation results are added to an image file using AI, then the value as input data is increased, but the estimation results cannot be updated appropriately when re-estimation is performed on image files that do not include additional information
Solution Approach 1:
The patent segments estimation results into two distinct types: first estimation results based on data included in the image file (image data, sensor data), and second estimation results based on data not included in the image file (sound data, pre-shooting live image data). This segmentation is implemented by adding identification information to the metadata, allowing the system to differentiate and appropriately handle each type during re-estimation processes.
2Measurement precision
If the AI model is changed and estimation is performed again, then more accurate estimation results can be obtained, but the estimation results that were added at the time of shooting cannot be updated appropriately
Solution Approach 1:
The patent performs preliminary action by adding identification information to estimation results at the time of initial estimation. This identification information marks whether the result is based on included or excluded data, enabling the re-estimation system to quickly determine which results can be updated and which cannot, thereby avoiding unnecessary re-processing and saving time.
3Adaptability or versatility
If various types of information from sensors and pre-shooting data are used for estimation, then the value as input data is increased, but re-estimation cannot be performed when this additional information is not available
Solution Approach 1:
The patent introduces an intermediary mechanism in the form of identification information within metadata. This intermediary allows the system to track the data sources used for each estimation result, enabling intelligent decision-making during re-estimation about which results can be updated and which should be preserved, thereby managing complexity while maintaining versatility.
Data Source
AI summary
An image processing apparatus comprises a generation unit configured to generate an image file of captured image data, the generation unit generating the image file with estimation results related to the image data added thereto as metadata, wherein the generation unit generates the metadata so that a first estimation result and a second estimation result are distinguishable from each other, the first estimation result being based on data that is included in the image file, the second estimation result being based on data that is not included in the image file.