Application of Multimedia Information Retrieval Technology in Woodblock Pictures Promotion

In the current integration of digital technology and cultural inheritance, Multimedia Information Retrieval (MIR) technology is crucial for large-scale data management and cultural dissemination. This study constructs an optimized MIR model for promoting Zhuxian Town woodblock New Year paintings. It innovatively uses the spatial vector model to analyze New Year painting features and builds a feature extraction-retrieval-precise promotion model to enhance dissemination. Experiments show that this technology improves the dissemination of New Year paintings in multiple dimensions, such as more stable decorative feature extraction and a higher matching degree of color combinations with modern themes. Meanwhile, the study points out its challenges in cultural heritage applications and indicates that relevant methods have cross-industry value, providing support for the digital dissemination of traditional art and cross-industry data processing.

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Publication Details

Journal
Journal of Cases on Information Technology
Published
2025-06-18
DOI
https://doi.org/10.4018/jcit.381312
Primary Topic
Artificial Intelligence Applications
Type
article
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article

Application of Multimedia Information Retrieval Technology in Woodblock Pictures Promotion

Yana You
Journal of Cases on Information Technology
Artificial Intelligence Applications
article

Application of Multimedia Information Retrieval Technology in Woodblock Pictures Promotion

Yana You
article en

Abstract

In the current integration of digital technology and cultural inheritance, Multimedia Information Retrieval (MIR) technology is crucial for large-scale data management and cultural dissemination. This study constructs an optimized MIR model for promoting Zhuxian Town woodblock New Year paintings. It innovatively uses the spatial vector model to analyze New Year painting features and builds a feature extraction-retrieval-precise promotion model to enhance dissemination. Experiments show that this technology improves the dissemination of New Year paintings in multiple dimensions, such as more stable decorative feature extraction and a higher matching degree of color combinations with modern themes. Meanwhile, the study points out its challenges in cultural heritage applications and indicates that relevant methods have cross-industry value, providing support for the digital dissemination of traditional art and cross-industry data processing.

Journal of Cases on Information TechnologyVol. 27(1)
Anyang Normal University (CN)
Sustainable cities and communities
Openalex Percentile: Top 93%
Artificial Intelligence Applications
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