Content-Adaptive Image Editing for Continuous Video Storytelling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing tools using editing templates often fail to match the content expressed by image materials, leading to poor video synthesis effects and homogenization, reducing user enthusiasm for video creation.
Innovation Solution
An image processing method that analyzes image materials in specific dimensions to determine content features, using a mapping relationship to select appropriate editing strategies and operations, ensuring content continuity and storytelling in multimedia resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If editing templates are used to synthesize videos from image materials, then video creation is facilitated and processing efficiency is improved, but the video synthesis effect deteriorates due to poor content matching and homogenization
Solution Approach 1:
The patent applies parameter changes by analyzing multiple dimensions of image materials (scene, object, emotion, style) and dynamically selecting editing operations based on the extracted content features. This transforms the fixed template approach into a dynamic parameter-driven approach where editing parameters are adjusted according to the specific content characteristics, thereby improving video synthesis quality while maintaining efficiency
Solution Approach 2:
The patent implements local quality by applying different editing operations to different segments of the video based on local content features. Instead of using a uniform editing template for the entire video, the system analyzes each image material's specific characteristics and applies targeted editing operations locally, preventing homogenization and improving overall synthesis quality
2Ease of operation
If fixed editing templates are applied to all image materials, then processing complexity is reduced and ease of operation is improved, but adaptability deteriorates due to poor content matching
Solution Approach 1:
The patent applies self-service by enabling the system to automatically analyze image material content and select appropriate editing operations without requiring users to manually choose templates. The system serves itself by extracting content features and making intelligent editing decisions, thereby maintaining ease of operation while dramatically improving adaptability and content matching accuracy
Solution Approach 2:
The patent implements dynamics by transforming the static fixed template approach into a dynamic content-adaptive approach. The editing operations are not predetermined but are dynamically selected based on real-time analysis of image material characteristics, allowing the system to adapt to diverse content while maintaining simple user interaction
3Manufacturing precision
If content feature analysis is performed on image materials, then storytelling quality and content continuity are improved, but processing complexity and time consumption increase
Solution Approach 1:
The patent applies segmentation by dividing the content feature analysis into distinct modular dimensions: scene analysis, object analysis, emotion analysis, and style analysis. Each dimension is processed independently through specialized analysis modules, then integrated to form a comprehensive content feature set. This segmented approach manages processing complexity while achieving high storytelling quality through multi-dimensional content understanding
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.