Dynamic Image Layering for Object Extraction and Update
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Solution Overview
Problem
Existing image saving schemes lack the ability to effectively store and update individual objects within an image file, particularly failing to incorporate additional information such as dynamic changes in the environment or objects, which limits their application in dynamic image synthesis.
Innovation Solution
An apparatus and method that extract objects from an image file, determine their position information, group them into layers based on location, and update these layers with new information to generate a dynamic image, allowing for the inclusion of additional data like weather or object changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a related image saving scheme stores image data in a buffer and saves it as an image file, then the image file can be stored, but additional information about individual objects cannot be stored
Solution Approach 1:
The image file is segmented into multiple layers, with each layer containing specific objects or information types. This allows individual object information to be stored separately while maintaining the overall image structure, resolving the contradiction between preserving information and managing complexity.
Solution Approach 2:
The patent introduces a vertical dimension by stacking multiple layers above the base image layer. This dimensional expansion enables the storage of additional object information without altering the fundamental 2D image structure, thus preserving information while avoiding excessive complexity in the base file format.
2Adaptability or versatility
If GPS position information and additional data are added to a static image, then the image file contains more information, but individual image synthesis for each object cannot be performed
Solution Approach 1:
By segmenting the image into multiple layers where each layer represents a specific object or data type, the system enables individual image synthesis for each object. This segmentation allows independent processing of each layer while maintaining the overall image integrity, thus improving adaptability without proportionally increasing system complexity.
Solution Approach 2:
The patent introduces dynamic capabilities by allowing layers to be independently manipulated, updated, and synthesized. This dynamic structure enables individual image synthesis for each object layer while keeping the base image static, providing versatility without requiring the entire image processing system to be highly complex.
3Stability of the object's composition
If a related image synthesizing scheme generates a static image by synthesizing stored image data with a different image, then the synthesized image can be created, but dynamic changes in the environment or objects cannot be reflected
Solution Approach 1:
The image composition is segmented into multiple independent layers, allowing the base image to remain stable while individual object layers can be dynamically updated. This segmentation enables the system to maintain composition stability for the overall image while providing adaptability for dynamic changes in specific objects or environmental conditions.
Solution Approach 2:
The patent implements a dynamic layer structure where individual layers can be updated independently over time. This allows the image composition to remain stable at the base level while enabling dynamic updates of specific objects or environmental elements, thus resolving the contradiction between stability and adaptability.
Data Source
AI summary
An image saving apparatus may extract an object from a photographed picture, and may store position information. The image saving apparatus may selectively perform image processing of each object using the position information and may provide a user with a dynamic image in which a change in the photograph range is considered.