AI Book Cover Generation Using Content-Matched Book Information
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Solution Overview
Problem
Existing electronic book covers lack background images that match the content, leading to poor display effects and requiring manual design with high labor costs.
Innovation Solution
A method and apparatus for generating book covers that automatically extract reference information from various dimensions, such as author, classification, and excerpt information, using generative models to create background images and text, enhancing the display effect and matching with the book's content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual design is used for electronic book covers, then the display effect and content matching can be improved, but labor costs and time consumption increase significantly
Solution Approach 1:
The system extracts reference information automatically from book metadata, content, and images without human intervention. The generative model autonomously creates cover designs based on extracted keywords and parameters, enabling the system to serve itself rather than requiring manual designer input for each cover.
Solution Approach 2:
The patent transforms book information into structured parameters (keywords, colors, styles, composition ratios) that control the generative model. By changing these parameters based on book content analysis, the system generates varied high-quality covers automatically, resolving the contradiction between quality and efficiency.
2Productivity
If random background images are added to covers, then the cover generation speed is maintained, but the display effect and content relevance deteriorate
Solution Approach 1:
The system performs preliminary extraction of reference information from book metadata, titles, authors, and content before cover generation. Keywords and thematic elements are identified in advance, allowing the generative model to create relevant background images that match book content rather than using random images.
Solution Approach 2:
The patent replaces the mechanical process of manual cover design with an automated system combining information extraction, keyword analysis, and generative modeling. This substitution maintains high generation speed while improving content relevance through algorithmic analysis of book characteristics.
3Productivity
If no background images are used on covers, then the design process is simplified and fast, but the visual appeal and user attraction are reduced
Solution Approach 1:
The cover generation process is segmented into independent modules: information extraction, keyword generation, parameter determination, and image generation. This segmentation allows the system to efficiently produce high-quality covers with appropriate background images by processing each aspect separately and combining results systematically.
Data Source
AI summary
The present disclosure relates to a generation method and generation apparatus of book information, an electronic device, and a storage medium, and relates to the field of computer technologies. The method of the present disclosure comprises: extracting reference information in at least one dimension based on information of a book; determining a generation manner of a cover of the book based on the reference information in the at least one dimension, where generation manners corresponding to reference information in different dimensions are different; generating the cover of the book based on the generation manner, where the cover comprises a background image and excerpt information of the book; and displaying the cover of the book.