Automated Image Text Rendering Style Selection

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Solution Overview

Problem

Current video recommendation systems require manual rendering of images by post-production staff, leading to slower rendering speeds and lower efficiency.

Innovation Solution

An image rendering method that determines a text area in an image, selects a target character style based on attribute information, determines a target pattern style based on the image, and renders the image using these styles to harmoniously integrate text, thereby facilitating fast image rendering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual rendering by post-production staff is used, then text placement quality can be controlled, but rendering speed decreases and efficiency is reduced

Engineering Contradiction:

Improvetext placement qualityVSAvoidrendering speed

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The system performs automatic text rendering without requiring manual post-production staff intervention. The apparatus autonomously analyzes image content, determines optimal text areas, selects appropriate fonts and styles, and completes the rendering process automatically, enabling the system to serve itself and eliminating dependency on human operators while maintaining high text placement quality

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts multiple parameters including text area coordinates, font type, font size, text color, and background transparency based on image content analysis. By automatically optimizing these parameters according to the specific image characteristics, the system achieves high-quality text placement comparable to manual rendering while dramatically improving rendering speed and efficiency

Inventive Principle:

Principle #35Parameter changes

2Productivity

If automated rendering is implemented, then rendering efficiency increases, but text placement aesthetics may deteriorate

Engineering Contradiction:

Improverendering efficiencyVSAvoidtext placement aesthetics

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system incorporates a feedback mechanism where the text area determination module analyzes image content and provides feedback to adjust text placement parameters. The apparatus continuously optimizes text position, size, and style based on the analyzed image characteristics, ensuring that automated rendering produces aesthetically pleasing results while maintaining high rendering efficiency

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of the image content before text rendering to identify optimal text areas and appropriate styling parameters. By pre-processing the image to extract relevant features and determine best practices for text placement, the system ensures high aesthetic quality is achieved automatically without requiring manual intervention during the actual rendering process

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250022195A1Image rendering method and apparatus, device, storage medium, and program product

Publication Date: 2025.01.16 DOUYIN VISION CO LTD

AI summary

Embodiments of this disclosure discloses an image rendering method, an apparatus, a device, a storage medium, and a program product. The image rendering method includes processing an image to be rendered to determine a text area determining a target character style of text based on attribute information of the text area determining a target pattern style of text based on the image to be rendered; and rendering the image to be rendered based on the target character style of text and the target pattern style of text.