Video Style Effect Selection for Higher-Quality Image Rendering
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Solution Overview
Problem
Existing video processing technologies lack diverse and high-quality effect props, resulting in suboptimal display effects and content richness, particularly during stylistic effect processing.
Innovation Solution
A method and apparatus that determine a stylistic effect type based on image and text, converting them into a target effect image using a video processing apparatus with modules for effect selection, type determination, and image conversion, enhancing accuracy and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing effect props are used for video processing, then the basic video editing function is achieved, but the display effect and content richness are insufficient
Solution Approach 1:
The patent changes the parameters of effect application by introducing stylistic effect types (e.g., cartoon, anime, painting styles) that can be dynamically selected and applied to images. The system determines effect types based on image content analysis and allows users to select from multiple stylistic categories, transforming the fixed effect props into adaptive, style-based effects that significantly improve both content richness and display quality.
Solution Approach 2:
The patent uses pre-defined stylistic effect templates that replicate famous art styles and visual effects. By copying and adapting these pre-established styles into the video processing system, the patent achieves high-quality display effects without requiring complex real-time generation, thus improving both content diversity and rendering quality simultaneously.
2Adaptability or versatility
If stylistic effect processing is performed on images, then the creative expression is enhanced, but the display effect of generated effect images deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system analyzes the input image characteristics and automatically selects the most suitable stylistic effect type. The effect determination module receives image input, analyzes its features, and returns appropriate effect types that match the image content, ensuring high-quality output while maintaining diverse stylistic options.
Solution Approach 2:
The patent applies different stylistic effects to different regions or aspects of the image based on local characteristics. By analyzing specific features of the input image (such as subject matter, color distribution, and structural elements), the system selectively applies appropriate stylistic transformations to achieve optimal display quality while preserving the intended creative effect.
3Ease of operation
If multiple effect types are provided for user selection, then the interactivity is improved, but the complexity of effect determination increases
Solution Approach 1:
The patent segments the effect determination process into distinct functional modules: an effect determination module that analyzes image characteristics, a user selection interface that presents organized effect categories, and an application module that executes the selected effects. This segmentation simplifies the overall system architecture while maintaining rich interactivity, as each module handles a specific aspect of effect selection and application independently.
Data Source
AI summary
A video processing method includes acquiring effect selection information in response to an effect triggering instruction, determining at least one to-be-applied effect type corresponding to the effect selection information, determining a target effect type from the at least one to-be-applied effect type, and converting the target text and/or the to-be-processed image into a target effect image corresponding to the target effect type. As such, a corresponding stylistic effect type is determined based on an image, text, or a combination thereof; further, the text and the image are converted into the effect of a target effect image based on the corresponding stylistic effect type, improving the accuracy of determining the corresponding stylistic effect type and further improving the image quality and effect display effect of the target effect image.