Image Synthesis Object Positioning via Tag Coordinates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Portable electronic devices struggle to accurately position objects within a frame in synthesized images, often resulting in missing or partially included objects due to limitations in image processing and tagging technologies.
Innovation Solution
An image synthesis method and device that selects source images, acquires object coordinates from tag information, extracts target images containing the objects, and displays them in corresponding sections of a screen frame, utilizing techniques like object recognition and GPS information for precise positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing methods are used to extract and position objects in synthesized images, then the synthesis process can be completed, but objects may be missing or only partially included in the designated sections
Solution Approach 1:
The patent applies preliminary action by extracting object coordinates from tag information associated with source images before performing the image synthesis. This pre-extraction of coordinate data ensures that objects are accurately identified and positioned in advance, preventing missing or partial object inclusion in the final synthesized image sections.
Solution Approach 2:
The patent replaces conventional mechanical image processing methods with a data-driven approach using tag information containing object coordinates. Instead of relying on complex image analysis algorithms to detect and position objects, the system uses pre-stored coordinate data from tags to directly extract and position objects, improving both accuracy and reliability.
2Adaptability or versatility
If multiple source images are processed to create a synthesis image with multiple sections, then the synthesis functionality is enhanced, but the complexity of accurately mapping objects to correct sections increases
Solution Approach 1:
The patent applies segmentation by dividing the synthesis image into multiple sections, each corresponding to a specific source image. Tag information associated with each source image contains coordinates that map to specific sections, allowing objects to be independently extracted and positioned in the correct sections without complex cross-image mapping operations.
Solution Approach 2:
The patent uses tag information as an intermediary between source images and the synthesis image. The tags contain coordinate data that serve as a mapping bridge, automatically associating objects from source images with their corresponding sections in the synthesis image, thereby simplifying the overall mapping process.
3Ease of manufacture
If conventional image extraction methods are used without coordinate information, then the extraction process is simpler, but objects cannot be accurately positioned in the desired sections
Solution Approach 1:
The patent applies self-service by utilizing tag information that is already associated with the source images. The coordinate data needed for accurate object extraction and positioning is self-contained within the tag information, eliminating the need for additional complex image analysis or manual coordinate determination processes.
Data Source
AI summary
A method for combining a plurality of images into a synthesis image and an electronic device implementing the same are provided. The image synthesis method of the present disclosure includes acquiring coordinates of an object in a source image; extracting a target image from the source image based on the coordinates such that the target image contains the object; and displaying the target image in a section of a frame mapped to the source image.