In-Vehicle Image Embedding via Feature Region Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing in-vehicle device systems fail to properly combine images from portable terminals and in-vehicle devices, often hiding important user information by determining positional relationships without considering the significance of specific image regions.
Innovation Solution
An information device and method that includes an image receiving unit, a specific region detecting unit, an information device image creating unit, a composite image creating unit, and a display control unit, which identify and embed in-vehicle device images within specific regions of the portable terminal images based on feature values like luminance or chromaticity, ensuring important user information is not obscured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the in-vehicle device determines the positional relationship based on image size without considering important regions, then the image combining process is simple, but the important region may be hidden by the in-vehicle device image
Solution Approach 1:
The system performs preliminary detection of important regions in the portable terminal image before combining images. The important region detecting unit identifies regions with high user interest based on feature values, and this detection is completed beforehand so that the image combining unit can place the in-vehicle device image in a position that does not obscure these important regions.
Solution Approach 2:
The system applies different placement strategies to different regions of the portable terminal image. Instead of using a uniform placement approach, the image combining unit considers the local characteristics of important regions (detected by their feature values) and adjusts the positioning of the in-vehicle device image to avoid covering these specific local areas while still achieving effective image combination.
2Loss of information
If the system identifies and avoids important regions when placing images, then important user information is preserved, but the image combining process becomes more complex
Solution Approach 1:
The system changes the parameter used for image placement from simple geometric considerations to feature value-based important region detection. By detecting regions with specific feature values (luminance, chromaticity) that indicate user interest, the system automatically identifies where not to place the in-vehicle device image, making the complexity management easier through objective parameter thresholds.
Solution Approach 2:
The important region detecting unit automatically identifies important regions based on intrinsic feature values of the portable terminal image without requiring manual input or complex user preferences. The system serves itself by using the image's own characteristics (color, luminance patterns) to determine important regions, reducing the need for additional complex control mechanisms.
Data Source
AI summary
An information device includes an image receiving unit receiving an information terminal image having a specific region composed of pixels having a same feature value from an information terminal, the feature value being luminance or chromaticity; a specific region detecting unit detecting the specific region within the information terminal image, based on feature values of pixels composing the information terminal image received by the image receiving unit; an information device image creating unit creating an information device image related to a function provided to the information device; a composite image creating unit creating a composite image where the information device image created by the information device image creating unit is embedded in the specific region detected by the specific region detecting unit within the information terminal image; and a display control unit displaying the composite image created by the composite image creating unit on a display apparatus.