Picture Synthesis Visual Center Determination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing picture synthesis methods result in poor visual effects due to the lack of consideration for the visual center of combined images, negatively impacting user experience.
Innovation Solution
A method and apparatus that determine the visual center of each picture, tailor them according to this center and a specified set of parameters, and combine them to create a more aesthetically pleasing image, using sub-picture division, target identification, clustering, and URL-based storage for efficient synthesis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If simple proportional compression and pasting is performed for each picture without considering visual center, then the synthesis process is simple and fast, but the visual effect of the combined picture is poor
Solution Approach 1:
The patent applies preliminary action by determining the visual center of each picture before the actual synthesis operation. The system calculates the visual center coordinates and uses them to pre-determine the pasting position, ensuring that important content is properly positioned in the combined picture before the synthesis is completed.
Solution Approach 2:
The patent applies local quality by treating different regions of pictures differently based on their visual importance. Instead of uniform proportional compression, the system identifies the visual center region and ensures it is properly positioned and sized in the combined picture, while other regions are adjusted accordingly.
2Manufacturing precision
If visual center determination and tailoring is performed for each picture, then the visual effect of the combined picture is significantly improved, but the synthesis process becomes more complex
Solution Approach 1:
The patent replaces complex mechanical or manual visual assessment with an automated algorithmic system. The visual center determination is achieved through computational algorithms that analyze picture content and calculate center coordinates automatically, substituting what would otherwise require complex manual evaluation.
Solution Approach 2:
The system applies self-service by having each picture determine its own visual center and required tailoring parameters independently. The synthesis system processes each picture through the same automated workflow, allowing the pictures to 'self-determine' their optimal presentation without requiring complex inter-picture coordination.
3Measurement precision
If visual center determination is performed using sub-picture division and clustering algorithms, then the accuracy of visual center identification is improved, but the processing time increases
Solution Approach 1:
The patent applies segmentation by dividing each picture into multiple sub-pictures or regions before analyzing them. This allows the system to process smaller, more manageable segments and determine the visual center through clustering algorithms applied to these segments, improving accuracy while managing computational complexity.
Solution Approach 2:
The system applies partial action by performing visual center determination on representative sub-regions of pictures rather than analyzing every pixel uniformly. The clustering algorithm processes key segments to identify the visual center, achieving sufficient accuracy without the excessive processing time that would result from exhaustive full-picture analysis.
Data Source
AI summary
A picture synthesis method and apparatus, an instant messaging method and a picture synthesis server/device are disclosed. The method comprises: after at least two pictures to be synthesized are acquired, determining a visual center of each of the pictures to be synthesized; cutting the corresponding pictures to be synthesized in accordance with the visual center of each of the pictures to be synthesized and a first set specification; and synthesizing all of the cut pictures to be synthesized to obtain a synthesized picture. Due to full consideration of the visual center of each of the pictures to be synthesized, a visual effect of the finally obtained synthesized picture is ensured, thereby improving the user experience.


