Design of a Visual Information Retrieval Interface for Exhibit Information Based on Image Similarity Analysis

DOI

10.2991/978-94-6239-737-8_38How to use a DOI?

Keywords

Image Similarity; Exhibit Retrieval; Information Visualization; User Interface Design; Color Features

Abstract

To address the difficulty that visitors in exhibition halls face in quickly locating or associating exhibits through textual descriptions, this study proposes a design method for a visual information retrieval interface for exhibits based on image similarity analysis. First, color means and texture standard deviations are adopted as image features to build an image feature database of exhibits. Second, Manhattan distance is used to calculate the similarity between images, and retrieval results are returned sorted by similarity. Finally, the retrieval results are presented in the interface in the form of visual graphs to assist visitors in exploring visual associations among exhibits. Through a comparative user experiment, the performance of a traditional text-based retrieval interface and the proposed visual retrieval interface is compared in terms of retrieval efficiency, user satisfaction, and cognitive load. The results show that the proposed method significantly outperforms the traditional method in retrieval time, accuracy, and subjective satisfaction, while reducing users’ cognitive load. This study provides a reusable technical framework for the design of information visualization retrieval interfaces in exhibition halls.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Weiqian Mao
AU  - Yingfei Jia
AU  - Liu Yang
AU  - Lin Zhang
PY  - 2026
DA  - 2026/08/18
TI  - Design of a Visual Information Retrieval Interface for Exhibit Information Based on Image Similarity Analysis
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 303
EP  - 309
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_38
DO  - 10.2991/978-94-6239-737-8_38
ID  - Mao2026
ER  -