Dynamic Image Display Sizing Based on Calculated Value
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Solution Overview
Problem
The existing image display systems face challenges in efficiently showcasing a large number of user-uploaded artworks on a server, leading to deteriorated browsing experiences due to limited display capabilities.
Innovation Solution
An image display method and system that calculates a value for each stored image based on attributes such as point number, access count, and membership type, allowing for dynamic display sizing and prioritization, with premium members' artworks being highlighted through larger display frames and slower timeline movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large number of artworks are posted on the server, then the quantity of available content increases, but the display quality and user attention are deteriorated due to limited display capabilities
Solution Approach 1:
The patent applies local quality by assigning different display characteristics (size, position, movement speed) to different artworks based on their individual values. High-value artworks receive larger display frames and slower movement speeds, while lower-value artworks receive smaller frames and faster movement. This resolves the contradiction by ensuring that limited display resources are allocated proportionally to content quality rather than uniformly.
Solution Approach 2:
The system dynamically changes display parameters (frame size, movement speed, position) based on the calculated value of each artwork. By adjusting these parameters according to content quality, the system maintains high display quality for important content while accommodating a large quantity of artworks in the limited display space.
2Ease of operation
If all artworks are displayed uniformly, then simplicity of display logic is maintained, but user engagement and attention to valuable content are reduced
Solution Approach 1:
Instead of uniform display, the system implements local quality by varying display characteristics according to artwork value. This maintains operational simplicity through automated value-based rules while significantly improving user engagement by highlighting valuable content through larger frames and slower movement speeds.
Solution Approach 2:
The system uses user interaction data (access counts, points) as feedback to continuously adjust display parameters. This creates a dynamic system where artworks that generate more engagement receive progressively better display treatment, automatically optimizing user engagement without complex manual intervention.
3Productivity
If premium members' artworks are highlighted with larger frames and slower movement, then user engagement increases, but display complexity and resource consumption increase
Solution Approach 1:
The system manages complexity by parameterizing display characteristics based on member type and artwork value. Rather than implementing complex special handling for premium content, it uses a unified framework where display parameters (frame size, speed) are automatically adjusted based on calculated values, achieving engagement goals with manageable system complexity.
Data Source
AI summary
An image display method comprises uploading images from a terminal of users to a server via a network, storing the images uploaded by the users in the server, calculating a value of the stored images, displaying a predetermined number of images among the stored images at the terminal in a manner in accordance with the value of the images.