Color-Retained Video Effects Through Grayscale Region Segmentation
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Solution Overview
Problem
Existing video processing technologies lack the ability to create diverse and engaging special-effect videos, limiting user experience and entertainment.
Innovation Solution
Perform grayscale processing on a video, segment regions in the grayscale video, determine a coloring order for these regions, and sequentially apply colors based on this order to generate a target video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional video processing is used, then the video content is simple and straightforward, but the video lacks diversity and engagement
Solution Approach 1:
The video is segmented into multiple image regions through region segmentation. Each region is then processed independently with different coloring orders, allowing diverse visual effects while maintaining manageable processing complexity through modular region-based operations
Solution Approach 2:
The patent applies dynamic coloring orders where different image regions are colored in different sequences based on their spatial relationships and content characteristics. This dynamic approach creates engaging visual effects while adapting the processing complexity to the specific video content
2Adaptability or versatility
If region segmentation and sequential coloring are applied, then video engagement is improved, but processing time increases
Solution Approach 1:
The system performs preliminary region segmentation and determines coloring orders in advance before the actual coloring process. By pre-calculating the processing sequence based on spatial relationships and content analysis, the system optimizes processing time while maintaining high engagement levels through creative coloring arrangements
3Ease of manufacture
If grayscale processing is performed first, then region segmentation is simplified, but color information is lost
Solution Approach 1:
The video is segmented into multiple image regions through region segmentation. Each region is then processed independently with different coloring orders, allowing diverse visual effects while maintaining manageable processing complexity through modular region-based operations
Solution Approach 2:
The system performs preliminary region segmentation and determines coloring orders in advance before the actual coloring process. By pre-calculating the processing sequence based on spatial relationships and content analysis, the system optimizes processing time while maintaining high engagement levels through creative coloring arrangements
Data Source
AI summary
Disclosed in the embodiments of the present disclosure are a video generation method, an apparatus, a device, and a storage medium. Grayscale processing is performed on a to-be-processed video, to obtain a grayscale video; region segmentation is performed on video frames in the grayscale video, to obtain a plurality of image regions; a coloring order is determined for the plurality of image regions; and coloring is performed sequentially on the plurality of image regions according to the coloring order, to obtain a target video.


