Motion-Triggered Video Effects With Target Sticker Overlay
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional technologies lack a method for achieving a preset motion effect in image processing, particularly in live or short video applications.
Innovation Solution
An image processing method that superimposes a foreground sticker on a target object in a video and generates a screen special effect when a preset motion is detected, using a neural network-based detection algorithm to identify the target and apply distortions or filters to create synchronized visual effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If traditional image processing methods are used to process high-definition images, then image quality can be maintained, but the processing time and power consumption increase significantly
Solution Approach 1:
The patent divides the image processing task into two distinct stages: a fast first stage that processes all images at reduced resolution, and a second stage that selectively enhances only those images meeting specific criteria. This segmentation allows the system to achieve high processing speeds for the majority of images while dedicating resources only when necessary, thereby reducing overall power consumption and processing time.
Solution Approach 2:
The patent implements partial action by applying full high-definition processing only to a subset of images that meet predetermined criteria (such as detecting specific objects or events), rather than processing every image at maximum quality. This approach eliminates unnecessary computational overhead for images that do not require enhanced processing, significantly reducing power consumption and processing time while maintaining image quality where needed.
2Measurement precision
If image processing is performed at high definition, then image quality is improved, but the computational complexity and resource requirements increase
Solution Approach 1:
The processing system is segmented into a first processing unit that handles all images at reduced resolution with simple algorithms, and a second processing unit that activates only when specific conditions are met. This segmentation reduces the average computational complexity by ensuring that complex high-definition processing operations are performed only when necessary, rather than on every incoming image.
Solution Approach 2:
The patent implements preliminary action through a first processing stage that quickly evaluates all images at reduced resolution to determine whether they meet predetermined criteria. This preliminary assessment allows the system to identify which images require subsequent high-definition processing, thereby reducing overall computational complexity by filtering out images that do not need intensive processing.
3Reliability
If all images are processed in detail, then no important images are missed, but the processing speed decreases
Solution Approach 1:
The patent segments the processing workflow into a rapid first stage that screens all images for potential importance, and a second stage that performs detailed analysis only on selected images. This segmentation maintains reliability by ensuring that potentially important images are not missed during the fast initial screening, while simultaneously preserving processing speed by limiting detailed analysis to only those images that pass the preliminary criteria.
Solution Approach 2:
The system applies partial action by performing comprehensive detailed processing only on a partial subset of images that meet specific predetermined criteria, rather than processing every image with the same level of detail. This approach maintains reliability for important images while significantly improving overall processing speed by avoiding unnecessary detailed processing of irrelevant images.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
Disclosed are an image processing method and apparatus, an electronic device and a computer-readable storage medium. The method comprises: acquiring a video image; when a preset target is detected in the video image, superimposing a foreground sticker on a target image corresponding to the preset target; and when a preset action of the preset target in the video image is detected, generating a screen special effect. In the embodiments of the present disclosure, a video image is acquired, when a preset target is detected in the video image, a foreground sticker is superimposed on a target image corresponding to the preset target, and when a preset action of the preset target in the video image is detected, a screen special effect is generated, such that a screen special effect for the preset action of the preset target can be realized.