Adaptive Two-Dimensional Sticker Display in Video Images
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Solution Overview
Problem
Conventional image processing technologies result in inflexible video images and unintelligent human-computer interaction when two-dimensional stickers are scaled and displayed in a fixed area within videos.
Innovation Solution
An image processing method that involves acquiring a video image with a two-dimensional sticker, performing key point detection to obtain first and second key points associated with the sticker's target area, determining the display area based on these key points, and rendering the sticker within this adaptive display area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a two-dimensional sticker is scaled to a fixed area in the video, then the display area is determined, but the video image becomes inflexible and human-computer interaction becomes unintelligent
Solution Approach 1:
The patent applies dynamics by transitioning from a static fixed-area display method to a dynamic adaptive display method. The system continuously performs key point detection on video images, dynamically identifies target areas of stickers, and adaptively determines display areas based on detected key points. This allows the sticker display to flexibly adjust to different video content and user interactions, resolving the contradiction between flexibility and complexity by making the system adaptive rather than rigid.
Solution Approach 2:
The patent implements feedback mechanisms through key point detection and target area identification. The system detects key points in the video image, identifies the target area of the sticker based on these key points, and uses this feedback information to determine the appropriate display area. This closed-loop feedback process enables intelligent human-computer interaction, allowing the system to respond intelligently to user actions and video content changes.
2Adaptability or versatility
If key point detection and target area identification are performed, then the display area can be adaptively adjusted, but the processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the sticker into a target area and non-target areas based on detected key points. By identifying specific target areas within the sticker rather than treating the entire sticker as a uniform display object, the system can adaptively adjust the display area to show only relevant portions. This segmentation approach reduces unnecessary processing of irrelevant areas while maintaining adaptive display capabilities.
Solution Approach 2:
The patent implements local quality by applying different processing and display characteristics to different parts of the sticker. The target area, identified through key point detection, receives special attention and is displayed with higher priority or different parameters compared to non-target areas. This localized approach allows adaptive display area adjustment focused on important regions, reducing overall processing complexity while maintaining adaptability.
Data Source
AI summary
An image processing method, an image processing apparatus, an electronic device, and a computer-readable storage medium are provided. In the method, a video image is acquired, where the video image includes a two-dimensional sticker, and the two-dimensional sticker includes a target area, by performing key point detection on the video image, a preset number of first key points associated with the target area in the two-dimensional sticker are acquired. The preset number of second key points that are marked and associated with the target area are acquired. A display area of the two-dimensional sticker in the video image is determined according to the preset number of the first key points and the preset number of the second key points, and the two-dimensional sticker is rendered in the display area.