Feature-Guided Image Editing for Continuous Video Storytelling
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Solution Overview
Problem
Existing video synthesis tools using editing templates often result in poor video effects and homogenization due to fixed editing operation modes that do not match the content of the image materials, leading to a lack of enthusiasm for video creation.
Innovation Solution
An image processing method that analyzes image materials in specific dimensions to determine content features, allowing for tailored editing strategies that match the content, thereby enhancing storytelling and reducing homogenization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed editing operation modes are used in video synthesis tools, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements dynamic editing operation modes that automatically adapt to different image material characteristics. The system analyzes content features of input images and dynamically selects or generates appropriate editing operations, transitioning from static fixed modes to dynamic adaptive modes that respond to content requirements.
Solution Approach 2:
The patent changes the parameters of editing operation modes based on content features of image materials. By analyzing dimensions such as color, composition, and semantic content, the system adjusts editing parameters dynamically to match the characteristics of the input material, resolving the contradiction between fixed operation modes and content adaptability.
2Device complexity
If fixed editing operation modes are used, then device complexity is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The patent performs preliminary content feature analysis on image materials before applying editing operations. By pre-analyzing the characteristics of input images and determining appropriate editing strategies in advance, the system ensures high video effect quality without requiring complex real-time decision-making during the editing process.
Solution Approach 2:
The system performs self-service by automatically analyzing content features and selecting editing operations without requiring complex user configuration. This automation maintains video effect quality while keeping the user interface simple, effectively reducing perceived device complexity while maintaining manufacturing precision.
3Productivity
If fixed editing operation modes are used, then productivity is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements self-service functionality where the system automatically analyzes content features of image materials and selects appropriate editing operations without user intervention. This automation maintains high video synthesis efficiency while achieving content-adaptive editing, resolving the contradiction between productivity and adaptability.
Solution Approach 2:
The system dynamically changes editing parameters based on content feature analysis results. By automatically adjusting editing operation parameters to match the characteristics of input image materials, the system achieves both high processing efficiency and content-specific adaptability without requiring manual configuration for each video synthesis task.
Data Source
AI summary
The present disclosure relates to an image processing method, an apparatus, and a readable storage medium. The image processing method may obtain a multimedia resource with content continuity by: performing feature analysis on at least one image material to acquire a content feature set, where each content feature included in the content feature set is used for representing a content expressed by the image material in a corresponding particular dimension; next, acquiring an editing strategy of the at least one image material based on the content feature set and in accordance with a mapping relationship between different content features in the particular dimension and different operation modes of different editing operation types; and synthesizing the at least one image material according to each target editing operation mode included in the editing strategy.