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Using Machine Learning and Generative Intelligence in Book Cover Development
Nonna Kulishova1, Daiva Sajek1
1Kauno Kolegija Higher Education Institution, Faculty of Informatics, Engineering and Technologies, Pramonés av. 20, 111965284 Kaunas, Lithuania.
Journal of Imaging
|February 25, 2025
Summary
Machine learning and generative artificial intelligence (GAI) can enhance self-published book cover design by identifying genre-specific color preferences. This approach improves cover creation through a novel GAI workflow, leading to visually appealing and targeted designs.
Area of Science:
- Computer Science
- Artificial Intelligence
- Publishing Technology
Background:
- Machine learning and AI are increasingly integrated into various sectors.
- Book cover design, particularly in self-publishing, can benefit from AI-driven improvements.
- Reader color preferences, influenced by genre and culture, impact book selection.
Purpose of the Study:
- To improve self-publishing book cover design using machine learning and generative artificial intelligence (GAI).
- To identify and leverage genre-specific color preferences for effective book cover design.
- To propose an enhanced workflow for GAI-assisted book cover creation.
Main Methods:
- Cluster analysis of book cover images to identify genre-specific color preferences.
- Investigation of generative AI services for cover design and improvement.
- Development of an improved flowchart for GAI in self-publishing, including exploring, conditioning, and evolving stages.
- Experimentation using machine learning to determine prevalent colors and their harmony in book cover layouts.
Main Results:
- Identification of color preferences associated with specific book genres.
- Demonstration of generative AI capabilities in creating and refining book cover designs.
- Obtained versions of book cover layouts for a given genre using the proposed GAI scheme.
- Validation of identified colors against harmonious color palettes.
Conclusions:
- Machine learning and GAI offer powerful tools for optimizing self-published book cover design.
- Integrating genre-specific color analysis with GAI workflows can lead to more effective and appealing book covers.
- The proposed GAI design process enhances creative control and output quality in book cover creation.
Keywords:
book coversclusteringcolorgenerative artificial intelligencek-meansmachine learningself-publishingMore Related Videos
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