Template-Based Image Processing for Personalized Video Playback
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Solution Overview
Problem
Current interactive operations on video playback pages are simplistic, failing to meet user requirements for a richer and more personalized interactive experience.
Innovation Solution
An image processing method and apparatus that allows for displaying template images in response to user requests, enabling the generation of personalized images based on input images and template images, and supporting operations like selection, editing, and sharing to enhance interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If simple interactive operations are provided on video playback pages, then the system complexity is low, but the interactive experience quality is insufficient
Solution Approach 1:
The interactive experience is segmented into multiple independent components: template image selection, input image upload, image processing, and result display. Each component can be independently configured and managed, allowing the system to provide rich interactive features while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The video playback page is enhanced with multi-functional capabilities by integrating image processing and template matching features. The system can handle multiple interaction types (selecting from predefined templates, uploading custom images, real-time processing) within a unified interface, making the platform versatile without requiring separate systems for each function.
2Adaptability or versatility
If template images and input image processing are added to video playback pages, then personalized interactive content can be generated, but the operation complexity increases
Solution Approach 1:
Predefined template images are prepared and stored in advance with various styles and formats. When users access the video playback page, these templates are immediately available for selection, eliminating the need for users to create templates manually. This preliminary preparation simplifies the user operation while enabling personalized content generation.
Solution Approach 2:
The system uses template copying where pre-designed template images are replicated and applied to user-uploaded input images. Instead of requiring users to design unique images from scratch, the system copies and adapts existing templates to match user content, significantly reducing operational complexity while maintaining personalization capabilities.
Data Source
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AI summary
This application discloses an image processing method. In an example, the method may be applied to a first client. The first client may display a video playback page. The first client may display at least one template image in response to a first request for the video playback page, where the at least one template image includes a first template image. The first client may display, in response to a second request for the first template image, a second image obtained according to a first image and the first template image on the video playback page. It can be seen that by using the solution of this embodiment of this application, according to the first request and the second request for the video playback page, the second image that satisfies personalized requirements of a user can generate based on the first template image and the input first image, thereby improving interactive experience.