Item Collocation Diagram Layout for Scale-Aware Auto Placement
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Solution Overview
Problem
Existing methods for generating item information collocation diagrams require manual re-collocation for new categories of items and struggle with items having significant scale differences, leading to unreasonable or unaesthetic results and low efficiency.
Innovation Solution
Determine item placement region and scene types, select a target background image based on these types, and use item allocation relationships to automatically position items in the background image, avoiding manual collocation and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual collocation method is used for background images, then the item information collocation diagram can be generated, but it requires re-performing manual collocation for new categories and has low efficiency
Solution Approach 1:
The patent applies preliminary action by pre-dividing background images into multiple candidate regions before item allocation. The system pre-processes background images to identify and store candidate regions with their attributes, so when new items need to be collocated, the system can directly match items with suitable pre-defined regions without manual intervention, thus resolving the efficiency problem
Solution Approach 2:
The system implements self-service through automated item-to-region matching based on category information and scale characteristics. The automated matching mechanism eliminates the need for manual re-collocation when adding new item categories, allowing the system to automatically generate collocation diagrams by matching item attributes with candidate region attributes
2Ease of operation
If preset annotation box is used for item placement, then the collocation process is simplified, but it is difficult to process items with significant scale differences resulting in unreasonable or unaesthetic diagrams
Solution Approach 1:
The patent applies local quality by creating candidate regions with different attributes (size, shape, position) within the same background image. Each candidate region is tailored to accommodate specific item scale characteristics, allowing items with significant scale differences to be placed in appropriately sized regions, thus maintaining diagram quality while simplifying the overall process
Solution Approach 2:
The system uses parameter changes by varying the attributes of candidate regions (such as size, position, and shape parameters) to match different item characteristics. The automated matching process adjusts which candidate region is selected based on item parameters, enabling flexible accommodation of items with different scales without compromising aesthetic quality
Data Source
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AI summary
Embodiments of the present disclosure provide a method and an apparatus of generating an item information collocation diagram, a device, a medium, and a program product. A specific implementation of the method includes: determining a corresponding item placement region type and a corresponding item placement scene type for each item category information in an item information group; determining a target background image and an item allocation relationship information based on a set of item placement region types, a set of item placement scene types, the item information group and a set of background images; determining at least one item information corresponding to an item placement region; determining an item position information corresponding to the at least one item information; and filling each item image into the corresponding item placement region in the target background image according to the corresponding item position information, so as to obtain an item information collocation diagram.