Image Grouping and Layout for Album Templates
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Solution Overview
Problem
Conventional methods for arranging multiple images in albums often result in poorly organized layouts, as they either simply arrange images in shooting order or divide them by arbitrary periods, failing to match the number of images with the number of double page spreads effectively.
Innovation Solution
An information processing method that uses an album creation application to automatically layout images by converting them into analysis data, performing feature extraction, scene division, and scoring, allowing for optimal selection and placement within multiple templates to match the number of images with double page spreads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If images are simply arranged in shooting order, then the arrangement process is simple and fast, but the images are not well organized and lack aesthetic appeal
Solution Approach 1:
The system performs preliminary actions by automatically analyzing image features, determining shooting periods, and pre-organizing images into groups before final layout. This preliminary organization based on scene classification and temporal relationships enables both automated processing and high-quality arrangement without manual intervention.
2Manufacturing precision
If images are divided by arbitrary periods, then the organization structure is established, but the number of divided periods may not match the number of double page spreads
Solution Approach 1:
The system dynamically adjusts the division of image groups by modifying period boundaries based on the number of available templates. It can flexibly merge or split periods to ensure the number of image groups matches the number of double page spreads, adapting the organization structure to fit the output requirements while maintaining logical temporal groupings.
Solution Approach 2:
The system changes the parameter of period division by adjusting time boundaries and grouping criteria to match the number of templates. It modifies the organizational parameters dynamically to ensure compatibility between the divided image groups and the available double page spreads, resolving the mismatch problem.
3Manufacturing precision
If all images are divided into multiple image groups and preferred images are selected, then the layout quality improves, but the process complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing image features, determining preferences based on scene classification and shooting periods, and selecting preferred images without manual intervention. The automated selection process evaluates multiple criteria and makes intelligent decisions, reducing the need for user involvement while maintaining high layout quality.
4Manufacturing precision
If the number of divided periods is adjusted to match double page spreads, then the layout completeness improves, but the organizational logic may be compromised
Solution Approach 1:
The system dynamically adjusts period divisions by flexibly modifying time boundaries and grouping strategies to match the number of templates. It can merge adjacent periods or split large periods while maintaining the logical temporal organization, ensuring both layout completeness and organizational integrity through adaptive restructuring.
Data Source
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AI summary
Images are divided into image groups based on time information indicating a time corresponding to each of the images. If the number of the image groups obtained in the dividing is smaller than a predetermined number, the number of the image groups is matched with the predetermined number by increasing the number of the image groups. If the number of the image groups obtained in the dividing is larger than the predetermined number, the number of the image groups is matched with the predetermined number by decreasing the number of the image groups. At least one image included in each of the image groups obtained in the matching is laid out in a template.