Dynamic Target-Region Image Processing for Personalized Effects
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Solution Overview
Problem
Existing image processing applications lack diversity in effect props, leading to dull display effects and reduced user engagement during personalized image processing.
Innovation Solution
An image processing method and apparatus that extracts a target region image from a video frame, displays it at a designated position along with associated information, and renders a target effect image when certain conditions are met, enhancing interaction and personalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If ready-made effect props are used in image processing applications, then the development time is reduced, but the content diversity and user engagement are limited
Solution Approach 1:
The system dynamically generates effect images by combining target region images with various effect props in real-time based on user interactions and video content, rather than using static pre-made materials. This dynamic generation process allows for unlimited content diversity while maintaining efficient development through programmable effects.
Solution Approach 2:
The system enables users to personally create and customize effect images through direct interaction with the video content and effect props. Users can select target regions, choose effect props, and generate personalized effect images themselves, transforming them from passive consumers to active creators of content.
2Adaptability or versatility
If personalized effect processing is implemented, then user engagement is improved, but the display effect becomes dull and lacks fun
Solution Approach 1:
The system merges target region images extracted from video content with various effect props to create composite effect images. This combination integrates personalized user-selected content with professionally designed effect elements, achieving both personalization and high display quality simultaneously.
Solution Approach 2:
The system introduces an intermediary processing layer that automatically enhances and refines the combination of target region images and effect props. This intermediary processing ensures that user-generated personalized effects maintain high visual quality and entertainment value without requiring manual design of each effect.
3Adaptability or versatility
If more effect props are provided to users, then content enrichment is achieved, but the device complexity increases
Solution Approach 1:
The system implements a universal effect prop library where a single set of effect props can be applied to multiple different target region images and video contents. Each effect prop is designed to work generically with various types of images, allowing content enrichment without proportionally increasing the number of required effect materials or system complexity.
Solution Approach 2:
The system enables dynamic adjustment of effect parameters such as transparency, size, position, and intensity of effect props based on the target region image and user preferences. This parameter-based control allows diverse content generation from a limited set of effect props, avoiding the need to create numerous specialized effect materials.
Data Source
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AI summary
Provided in the embodiments of the present disclosure are an image processing method and apparatus, an electronic device and a storage medium. The method comprises: when detecting an image acquisition condition being satisfied, acquiring a video frame to be processed, and extracting a target area image of said video frame; displaying at a target position of said video frame the target area image, and displaying at an associated position of the target position at least one piece of information to be displayed, said information comprising a text to be displayed and/or an image to be displayed; and when a special-effect image display condition is satisfied, displaying a target special-effect image, said information comprising target information, and the target special-effect image being associated with the target information and the target area image. The embodiments of the present disclosure can, according to randomly determined target information and a target area image, draw a special-effect image, so as to further obtain a personalized special-effect display image, thereby improving the diversity of the content of special-effect images and further improving the interestingness for users during use.