Image Arrangement System for Album Layout Optimization
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Solution Overview
Problem
Existing methods for extracting still images from moving images often result in images that are not desirable for printing or album use, and the arrangement of these images can be monotonous, lacking visual unity.
Innovation Solution
An image processing device and method that classifies moving and still images into groups, analyzes their relationships, and determines the optimal number and arrangement of frame images to create a visually appealing layout without requiring user effort in selecting images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If still images are extracted from moving images using existing methods, then noise-free portions can be identified, but the extracted images are not necessarily the ones users desire for printing or albums
Solution Approach 1:
The system automatically extracts and arranges images based on analyzed relationships between moving and still images, eliminating the need for manual user selection while ensuring the extracted images match user expectations through intelligent automation
Solution Approach 2:
The system analyzes the relationships between images and uses this analysis to determine the optimal number and arrangement of frame images, creating a feedback loop where image relationships guide the extraction and arrangement process to achieve both accuracy and user satisfaction
2Device complexity
If images are arranged in a simple list format, then the processing is simple, but the display gives a monotonous and boring impression
Solution Approach 1:
The system dynamically determines the arrangement layout based on the analyzed relationships between images, creating visually appealing compositions that adapt to the specific image content rather than using a static simple list format
Solution Approach 2:
The system applies different arrangement strategies to different image groups based on their specific relationships and characteristics, creating locally optimized layouts that enhance visual appeal while maintaining overall simplicity
3Productivity
If frame images are extracted without considering image relationships, then the extraction process is simple, but visual unity in the final arrangement is compromised
Solution Approach 1:
The system performs preliminary analysis of the relationships between moving and still images before extraction, using this pre-computed information to guide the frame image extraction process and ensure visual unity in the final arrangement
Solution Approach 2:
The system changes the extraction parameters based on the analyzed image relationships, dynamically adjusting the number and selection of frame images to maintain visual unity while preserving extraction efficiency
Data Source
AI summary
The image processing device includes an image data input unit for receiving data of moving images and still images; an image grouping unit for classifying the moving images and the still images into groups; an image analyzer for analyzing the moving images and the still images classified by group, and obtaining analysis information of the images, and information on relationship between the moving images and the still images; a frame image extractor for extracting frame images from the moving images according to at least one of the analysis information and the relationship information; a layout determining unit for determining a layout of the still images and the frame images according to at least one of the analysis information and the relationship information; and an image arranging unit for arranging the still images and the frame images according to the layout.