AR Image Processing with Dynamic Effect Rendering
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Solution Overview
Problem
Images have a limited displaying dimension, which restricts their ability to convey rich information effectively, despite being a cost-effective and low-bandwidth medium for information dissemination.
Innovation Solution
An image processing method and apparatus that utilizes AI and AR technologies to automatically add dynamic effects to images by detecting feature objects, segmenting them, and applying AR effects, allowing for enhanced visual richness without excessive manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If dynamic effects are manually added to images, then the displaying dimension and richness of images is improved, but the operation complexity and time consumption increase
Solution Approach 1:
The system automatically detects feature objects in images, selects appropriate dynamic effects based on preset strategies, and applies rendering without requiring manual user intervention. The device performs self-service by autonomously completing the entire workflow from detection to effect application, thereby improving information richness while eliminating manual operation complexity
Solution Approach 2:
Preset strategies for loading dynamic effects are established in advance, containing pre-configured rules for selecting and applying effects to different feature objects. This preliminary preparation enables the system to quickly and automatically apply appropriate dynamic effects without requiring manual decision-making during operation, thus improving both information richness and operational efficiency
2Loss of information
If dynamic effects are added to all feature objects, then the visual richness is improved, but the processing time and computational resources increase
Solution Approach 1:
The system applies different treatments to different feature objects based on preset strategies. Not all feature objects receive dynamic effects - only those that match specific criteria defined in the preset strategies. This localized application of dynamic effects improves visual richness where needed while avoiding unnecessary processing of all objects, thereby reducing overall processing time
Solution Approach 2:
The system selectively applies dynamic effects to a subset of feature objects rather than all objects in the image. By using preset strategies to determine which objects should receive effects, the system achieves sufficient visual richness through partial action, avoiding the time consumption associated with processing every single feature object
3Manufacturing precision
If feature objects are segmented to apply AR effects, then the precision of effect application is improved, but the device complexity increases
Solution Approach 1:
The system segments feature objects in the image to identify distinct regions that require different dynamic effects. By dividing the image into meaningful segments corresponding to different feature objects, the system achieves precise application of AR effects to specific areas. The segmentation is performed automatically using detection algorithms, and the complexity is managed through automated workflows that handle the segmentation and effect application process
Data Source
AI summary
The present disclosure provides an image processing method. The method includes: detecting at least one first feature object of an image to be processed, to obtain a name and position of each first feature object in the image; according to the name and position of the first feature object, and a preset strategy for loading a dynamic effect, selecting, from the at least one first feature object, a feature object to which a dynamic effect is to be loaded, as a second feature object; and according to the preset strategy for loading a dynamic effect, rendering the second feature object with an Augmented Reality (AR) dynamic effect, and obtaining an image with the AR dynamic effect. The present disclosure further provides an image processing apparatus, a device and a computer readable storage medium.