Image Composition Layout Using Automatic Material Placement

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Solution Overview

Problem

Existing image processing methods often result in unreasonable placement of material elements on base images, leading to poor aesthetics due to excessive material in certain regions or blank spaces, which cannot be automatically corrected.

Innovation Solution

Determine material parameters such as position, size, and angle based on features of both the base image and material element using a trained model, ensuring optimal placement and improving image aesthetics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If the material element is placed in the center position of the base image, then the placement process is simple, but the aesthetics of the generated image deteriorates due to unreasonable distribution

Engineering Contradiction:

Improveplacement process simplicityVSAvoidimage aesthetics quality

Core Design Contradiction:

Ease of manufactureVSManufacturing precision

Solution Approach 1:

The system automatically adjusts material parameters including position coordinates, size dimensions, and rotation angle based on image analysis, transforming the fixed center placement into dynamic parameter optimization that adapts to different base images and material elements

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The manual dragging and positioning operation is replaced by an automatic calculation system that computes optimal placement parameters through image processing algorithms, substituting mechanical user interaction with automated computational determination

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If the user manually moves the material element to adjust placement, then flexibility is improved, but the automation level deteriorates requiring user intervention

Engineering Contradiction:

Improveplacement flexibilityVSAvoidautomatic image generation capability

Core Design Contradiction:

Adaptability or versatilityVSExtent of automation

Solution Approach 1:

The system performs self-adjustment by automatically analyzing the base image characteristics and material element properties, then autonomously determining optimal placement parameters without requiring user intervention or manual positioning operations

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms where placement results are evaluated against aesthetic criteria, and the placement parameters are iteratively adjusted based on this feedback to achieve optimal visual outcomes automatically

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250386078A1Method, apparatus, device, storage medium and product for image processing

Publication Date: 2025.12.18 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

The embodiments of the disclosure provide a method, an apparatus, a device, a medium, a computer program product and a computer program for image processing. The method includes: obtaining a base image and a material element; and generating a target image based on the base image and the material element; wherein the target image includes the base image and the material element, a material parameter of the material element in the base image is determined based on the base image and the material element, and the material parameter includes at least one of a material position, a material size, and a material angle.