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Mobile visual search model for Dunhuang murals in the smart library

Ziming Zeng (Center for Studies of Information Resources, Wuhan University, Wuhan, China) (School of Information Management, Wuhan University, Wuhan, China)
Shouqiang Sun (School of Information Management, Wuhan University, Wuhan, China)
Tingting Li (School of Information Management, Wuhan University, Wuhan, China)
Jie Yin (School of Information Management, Wuhan University, Wuhan, China)
Yueyan Shen (School of Information Management, Wuhan University, Wuhan, China)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 26 January 2022

Issue publication date: 8 December 2022

292

Abstract

Purpose

The purpose of this paper is to build a mobile visual search service system for the protection of Dunhuang cultural heritage in the smart library. A novel mobile visual search model for Dunhuang murals is proposed to help users acquire rich knowledge and services conveniently.

Design/methodology/approach

First, local and global features of images are extracted, and the visual dictionary is generated by the k-means clustering. Second, the mobile visual search model based on the bag-of-words (BOW) and multiple semantic associations is constructed. Third, the mobile visual search service system of the smart library is designed in the cloud environment. Furthermore, Dunhuang mural images are collected to verify this model.

Findings

The findings reveal that the BOW_SIFT_HSV_MSA model has better search performance for Dunhuang mural images when the scale-invariant feature transform (SIFT) and the hue, saturation and value (HSV) are used to extract local and global features of the images. Compared with different methods, this model is the most effective way to search images with the semantic association in the topic, time and space dimensions.

Research limitations/implications

Dunhuang mural image set is a part of the vast resources stored in the smart library, and the fine-grained semantic labels could be applied to meet diverse search needs.

Originality/value

The mobile visual search service system is constructed to provide users with Dunhuang cultural services in the smart library. A novel mobile visual search model based on BOW and multiple semantic associations is proposed. This study can also provide references for the protection and utilization of other cultural heritages.

Keywords

Acknowledgements

Funding: This work was supported by National Natural Science Foundation of China (Grant # 71673203); Major research projects of philosophy social sciences of the Ministry of Education (Grant Number: 20JZD024).

Citation

Zeng, Z., Sun, S., Li, T., Yin, J. and Shen, Y. (2022), "Mobile visual search model for Dunhuang murals in the smart library", Library Hi Tech, Vol. 40 No. 6, pp. 1796-1818. https://doi.org/10.1108/LHT-03-2021-0079

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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