Effect Video Generation with Face-Dynamic Blending for Interactive Effects
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Solution Overview
Problem
Existing video applications lack rich and interactive effect props that can be seamlessly integrated with user faces, leading to a poor user experience.
Innovation Solution
A method and apparatus that generate an effect video by obtaining video frames, creating a target face dynamic image based on user face images, and blending it with selected effects to produce a target effect image, enhancing interaction and richness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If effect props are added to video applications, then the richness and fun of video content is improved, but the interaction experience and association between video content and effects deteriorates
Solution Approach 1:
The system automatically detects face images in video frames and generates corresponding effect images without requiring manual user configuration. The processing module autonomously completes the entire workflow from face detection to effect generation, making the system self-sufficient and eliminating complex user operations while maintaining rich effect content
Solution Approach 2:
The system dynamically adjusts processing parameters such as face region coordinates, effect image sizes, and blending ratios based on the detected face images and video frame characteristics. This adaptive parameter adjustment ensures optimal interaction experience for different video contents and effect types without requiring manual intervention
2Adaptability or versatility
If manual configuration of effect parameters is required, then flexibility in effect customization is improved, but user operation complexity and time consumption increases
Solution Approach 1:
The system pre-processes video frames to detect face images and determines optimal effect parameters before actual effect generation. By performing face detection, region extraction, and parameter calculation in advance, the system prepares all necessary configuration data beforehand, enabling rapid effect application without real-time user intervention
Solution Approach 2:
The system continuously monitors video frame content and automatically adjusts effect parameters based on detected face images and their characteristics. This closed-loop feedback mechanism ensures that effects remain properly aligned and customized throughout video processing, maintaining flexibility while eliminating manual reconfiguration needs
Data Source
AI summary
A method for generating an effect video, an apparatus for generating an effect video, an electronic device, and a storage medium are provided by embodiments of the present disclosure. The method includes: obtaining, in response to detecting that an effect generation condition is met, at least two video frames to be processed which are associated with a current moment; generating a target face dynamic image based on a face image of a target object in the at least two video frames to be processed, and blending the target face dynamic image into a target effect to obtain a target effect image; and determining an effect video frame in a target effect video based on the target effect image and a video frame to be processed which corresponds to the current moment.