3D Transition Image Generation for Richer Video Splicing Effects
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Solution Overview
Problem
Existing transition processing between video segments or images results in two-dimensional (2D) effects that lack richness in display quality.
Innovation Solution
A method and apparatus for generating a transition effect image with a three-dimensional (3D) effect by determining 3D transformation information, transforming a transition model, sampling pixel values, and generating a 3D transition effect image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If 2D transition images are used for video segment splicing, then the processing is simple and fast, but the display effect is not rich enough
Solution Approach 1:
The patent transforms 2D transition images into 3D transition effect images by applying 3D transformation information. This involves determining 3D transformation parameters (rotation angles, translation distances, scaling factors) and applying them to the transition model, thereby adding spatial depth and perspective to the transition effect, which significantly enriches the display effect while maintaining processing efficiency
2Shape
If 3D transition effect images are generated using the disclosed method, then the display effect is enriched with 3D perspective, but the processing complexity increases
Solution Approach 1:
The patent divides the 3D transition effect generation into distinct modular steps: (1) determining 3D transformation information, (2) transforming the transition model, (3) sampling pixel values from source images, and (4) generating the final 3D transition effect image. This segmentation allows each step to be optimized independently and facilitates implementation while managing processing complexity
Solution Approach 2:
The patent utilizes 3D transformation parameters (rotation angles, translation distances, scaling factors) to convert 2D images into 3D effect images. By changing these parameters dynamically based on the transition model, the system achieves rich 3D display effects without requiring complete redesign of the processing pipeline, thus managing complexity through parameter-based transformation rather than structural complexity
Data Source
AI summary
A method and an apparatus for generating a transition effect image, a device, and a storage medium. 3D transformation information corresponding to a transition model at a current time instant is determined. The transition model is transformed based on the 3D transformation information, to obtain a transformed transition model. A pixel value is sampled from a set image based on the transformed transition model. A 3D transition effect image corresponding to the transition model is generated based on the pixel value.