Sky Attribute-Based Image Effect Processing
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Solution Overview
Problem
Existing video applications face challenges in adding effects to video images, as the added effects often do not match the scene, leading to reduced effectiveness and poor user experience.
Innovation Solution
An image processing method that acquires attribute information of the sky in a target image, performs sky segmentation, and applies corresponding effects based on this information, including selecting and inserting objects like images or animations, while matching the brightness of the added object to the sky image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If effects are added to video images without considering sky attributes, then the effect processing is simple and fast, but the added effects do not match the scene resulting in reduced effectiveness
Solution Approach 1:
The patent segments the image processing into distinct modules: sky attribute acquisition, sky segmentation, and effect processing. By separating the sky region analysis from the general image processing, the system can apply sky-specific attributes (weather, time, region type) to guide effect selection, improving matching accuracy without overwhelming complexity in the entire processing pipeline.
Solution Approach 2:
The patent performs preliminary sky attribute acquisition and segmentation before applying effects. By pre-analyzing the sky region and determining relevant attributes (weather conditions, time of day, region type), the system prepares matching effect candidates in advance, enabling more accurate effect selection while maintaining efficient processing through pre-computation.
2Adaptability or versatility
If generic effects are applied to all images, then the processing is fast and simple, but the effects are not matched with the specific sky scenes
Solution Approach 1:
The patent applies local quality by analyzing only the sky region specifically for attribute extraction, while the rest of the image processing remains relatively simple. The sky region receives targeted analysis for weather, time, and region type attributes, allowing effect adaptation to local sky conditions without requiring complete reprocessing of the entire image, thus balancing adaptability with time efficiency.
Solution Approach 2:
The patent changes processing parameters dynamically based on sky attributes. Different effect processing parameters are selected according to detected sky conditions (e.g., weather type, time of day, region), allowing the system to adapt effects to specific scenes while maintaining efficient processing by only adjusting parameters when sky attributes change, rather than reprocessing everything.
3Ease of operation
If multiple candidate objects are shown for user selection, then the user can choose the most suitable effect, but the operation complexity increases
Solution Approach 1:
The patent implements a universal effect selection interface that works across different sky conditions and image types. The same multi-candidate selection mechanism is used regardless of whether the sky shows clear weather, clouds, rain, or other conditions, providing consistent user experience while maintaining simplicity through a standardized interface design that handles multiple scenarios with a single approach.
Data Source
AI summary
An image processing method and apparatus, a device, and a storage medium are provided. The image processing method includes: acquiring a target image, and acquiring attribute information of the sky in the target image; performing sky segmentation processing on the target image to obtain a sky image in the target image; and, on the basis of the attribute information, performing corresponding effect processing on the sky image in the target image. The corresponding effect processing step is selected based on the attribute information in order to perform effect processing on the sky image.