Image Processing Apparatus for Consistent Album Representative Image Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for selecting representative images for albums lack consistency across multiple albums, leading to undesirable display walls when based solely on image capturing frequency and resolution.
Innovation Solution
An image processing apparatus that acquires consistency information from existing albums and generates a representative image for new albums by matching attributes such as subject category, composition, tinge, and filter, ensuring consistency across the display wall.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a representative image is selected based only on image capturing frequency and resolution within the same album, then the selection process is simple, but the selected representative image may not relate to the representative images of other existing albums, causing inconsistency on the display wall
Solution Approach 1:
The system performs preliminary analysis of existing albums to extract attribute information (subject category, composition, tinge, filter) before selecting the representative image for the new album. This preliminary action enables the selection process to consider wall consistency without increasing operational complexity.
Solution Approach 2:
The invention changes the selection parameters from only capturing frequency and resolution to include attribute information such as subject category, composition, tinge, and filter. This parameter expansion allows the representative image to match both the new album content and existing wall patterns.
2Stability of the object's composition
If representative images are selected to ensure consistency with existing albums, then the display wall achieves visual coherence, but the selection process becomes more complex
Solution Approach 1:
The system automatically performs attribute extraction, comparison, and representative image selection without requiring manual intervention. The automated process handles the complexity internally while maintaining simple user interaction, resolving the contradiction between consistency achievement and system complexity.
Solution Approach 2:
The system uses feedback from existing album attributes to guide the selection of representative images for new albums. By continuously learning from the wall's existing pattern, the system maintains consistency without requiring complex manual configuration or intervention.
3Stability of the object's composition
If multiple attributes (subject category, composition, tinge, filter) are considered for representative image selection, then consistency across albums is improved, but the processing time increases
Solution Approach 1:
Attribute information from existing albums is extracted and stored in advance, creating a reference database that speeds up the comparison process. This preliminary preparation reduces the time required for multi-attribute analysis when selecting representative images for new albums.
Solution Approach 2:
The system prioritizes the most important attributes (such as subject category and composition) while considering secondary attributes (such as tinge and filter) only when needed. This partial action approach maintains consistency without requiring full analysis of all attributes in every case, reducing processing time.
Data Source
AI summary
An image processing apparatus includes: a receiving unit configured to receive registration of a new image group for at least one existing image group; and a generation unit configured to specify an image having consistency with representative images, which are set for the existing image groups respectively, out of the images included in the new image group, and generate from the specified image a representative image of the new image group.