Automatic Slide Show Effect Selection via Image Feature Analysis
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Solution Overview
Problem
Existing image displaying methods require manual effort from content producers to add effective display effects to slide shows, making it difficult for users to automatically set display effects suitable for individual images.
Innovation Solution
An image displaying method that detects characteristic areas in images and selects display effects from predetermined options based on the number and size of these areas, automatically adjusting the display to enhance the image presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual setting of display effects is used, then display effects can be customized, but user operation becomes cumbersome and time-consuming
Solution Approach 1:
The system automatically analyzes image characteristics (such as presence of human faces, landscapes, or objects) and autonomously selects appropriate display effects without requiring user intervention. The slide show control unit detects image features and directly applies corresponding effects, making the system self-sufficient in effect selection.
Solution Approach 2:
The system changes display parameters (effect types, transition modes, duration) based on detected image characteristics. Different image parameters (presence of faces, scene type, color distribution) trigger different display effect parameters, creating adaptive customization without manual input.
2Ease of operation
If automatic display effect selection is implemented, then user operation is simplified, but the ability to provide suitable effects for individual images is reduced
Solution Approach 1:
The system incorporates a feedback loop where the slide show control unit continuously analyzes image characteristics and adjusts display effects accordingly. The system receives feedback from image analysis (detecting faces, landscapes, objects) and automatically modifies effect selection to match the content, ensuring suitability for each individual image.
Solution Approach 2:
The system pre-establishes a library of display effects categorized by image type (portrait effects for faces, landscape effects for scenery, etc.). Before displaying images, the system prepares and organizes appropriate effects based on anticipated image characteristics, enabling rapid automatic selection during the slide show.
3Reliability
If content producers manually add effects, then effective display effects can be achieved, but productivity decreases due to manual work requirements
Solution Approach 1:
The system performs automatic effect selection and application without requiring content producer intervention. The slide show control unit autonomously analyzes each image and applies appropriate effects, eliminating the manual work step entirely while maintaining effect quality through automated image analysis.
Solution Approach 2:
The patent replaces the mechanical manual process of effect selection with an automated digital image analysis system. Instead of producers manually evaluating and selecting effects, the system uses computational algorithms to detect image characteristics and automatically apply suitable effects, dramatically improving productivity.
Data Source
AI summary
In a slide show, image displaying method and apparatus are provided that can automatically set a display effect suitable for a picture on the basis of information proper to individual pictures. After at least one image data is obtained, in executing a slide show of this image, characteristic areas such as faces in the image are detected, and a display effect is selected from a plurality of predetermined display effects on the basis of the number and/or size of the characteristic areas. The image is displayed while being changed in time series on the basis of this selected display effect.