Image Animation in Presentation Documents
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Solution Overview
Problem
Current techniques for animating images in presentation documents are time-consuming and require significant design skill, often resulting in ineffective or aesthetically unpleasing animations, especially for small or low-resolution images that may appear of poor quality when magnified.
Innovation Solution
A system and method that identify presentation documents with images, select suitable presentation templates with image animation based on image characteristics, and apply these templates to define animation, ensuring aesthetically pleasing and audience-capturing animations by considering image resolution, size, and salient regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual animation techniques are used to enhance aesthetic appeal and audience engagement, then animation quality may be improved, but time consumption and design skill requirements increase significantly
Solution Approach 1:
The system automatically analyzes image characteristics and selects appropriate animation templates without requiring manual user intervention. The processor identifies image features such as resolution, size, and salient regions, then autonomously applies suitable animation effects, allowing the system to serve itself rather than requiring expert user input.
Solution Approach 2:
The system changes the parameter of automation by introducing intelligent algorithms that analyze image characteristics and automatically select animation parameters. This transforms the process from manual parameter selection to automated parameter determination based on image properties such as resolution and salient regions.
2Reliability
If manual animation techniques are used to create effective animations, then animation effectiveness may be improved, but design skill requirements increase significantly
Solution Approach 1:
The system performs the design function automatically by analyzing image characteristics and selecting appropriate animation templates. The processor autonomously determines which animation effects are suitable based on image properties, eliminating the need for users to possess design expertise while maintaining effective animation outcomes.
Solution Approach 2:
The system introduces an intermediary intelligent algorithm that mediates between the image and the animation effect. This intermediary analyzes image characteristics such as resolution and salient regions, then selects appropriate animation templates, serving as a bridge that translates image properties into suitable animation choices without requiring user design knowledge.
3Reliability
If zooming animation is applied to small or low-resolution images, then audience attention may be captured, but image quality deteriorates and becomes distracting
Solution Approach 1:
The system changes the parameter of template selection by introducing image characteristic analysis. The processor evaluates image resolution and size as parameters, then selects animation templates accordingly. This prevents zooming animations from being applied to low-resolution images, maintaining image quality while still achieving audience engagement through appropriate animation selection.
Solution Approach 2:
The system implements feedback by analyzing image characteristics and using this information to determine suitable animation effects. The processor evaluates image properties such as resolution and size, then feeds this information back into the template selection process to avoid applying animations that would degrade image quality, thereby maintaining both engagement and quality.
4Reliability
If animation templates are selected based on image characteristics, then animation suitability is improved, but system complexity increases
Solution Approach 1:
The system segments the animation selection process into distinct components: image characteristic analysis, template selection criteria evaluation, and template application. The processor divides the complex task of animation selection into manageable segments based on specific image properties such as resolution, size, and salient regions, making the system more tractable while improving suitability.
Data Source
AI summary
System and method for applying presentation templates with image animation to presentation documents. A processor identifies a presentation document including an image and identifies a characteristic of the image. The processor further selects a presentation template with image animation from a plurality of available presentation templates. The selection of the processor is based on the characteristic of the image. The processor further applies the presentation template with animation of the image to the presentation document to define animation of the image. The processor then outputs the presentation document with the presentation template applied.