Vehicle Image Storage Using Luminance Variation Filtering
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Solution Overview
Problem
Current technologies for storing moving images from vehicles inefficiently store data with minimal variation in travel route information, leading to excessive storage of similar images.
Innovation Solution
An information processing apparatus that acquires images, determines similarity based on luminance values, and stores only non-similar images, using a derivation unit to partition images into areas and calculate average luminance variations, with a setting unit to update reference images and determine target images for storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all captured images are stored to ensure complete travel route information, then information completeness is improved, but storage capacity is excessively consumed
Solution Approach 1:
The patent changes the parameter used for image selection from simple similarity comparison to luminance value comparison. By extracting luminance values from images and comparing these numerical parameters, the system efficiently identifies and stores only images with significant luminance variations, thereby reducing storage requirements while preserving essential travel route information.
Solution Approach 2:
The patent applies local quality by treating different images differently based on their luminance characteristics. Instead of uniformly storing all images or applying a single filtering criterion, the system evaluates each image's luminance value individually and makes storage decisions based on local (per-image) luminance variation analysis, optimizing storage efficiency.
2Loss of information
If images with minimal variation are stored to maintain information accuracy, then information quality is improved, but storage efficiency deteriorates
Solution Approach 1:
The patent transforms the quality assessment from subjective similarity judgment to objective luminance value measurement. By converting images into numerical luminance parameters and comparing these values, the system accurately identifies images that contain meaningful travel route information changes while efficiently filtering out redundant images, thus improving both information accuracy and storage efficiency.
3Quantity of substance
If luminance value comparison is used to filter similar images, then storage amount is reduced, but processing complexity increases
Solution Approach 1:
The patent extracts the essential luminance parameter from complex image data, separating the critical information (luminance value) from the rest of the image content. This extraction process simplifies the comparison operation, allowing the system to filter images based on a single numerical parameter rather than performing complex full-image comparisons, thereby reducing processing complexity while maintaining effective filtering.
Data Source
AI summary
An information processing apparatus includes an acquisition unit, a determination unit, and a storage unit. The acquisition unit is configured to acquire an image outside a vehicle captured by a camera installed in the vehicle. The determination unit is configured to determine whether or not a determination target image is similar to a reference image based on luminance values of the reference image and the determination target image. The reference image is selected from pieces of image acquired by the acquisition unit. The determination target image is captured after the reference image is acquired. The storage unit is configured to store the image acquired by the acquisition unit excluding the determination target image determined to be similar to the reference image by the determination unit.