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Semantic-Based Image Retrieval Using Hierarchical Clustering and Neighbor Graph

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Information Systems and Technologies (WorldCIST 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 470))

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Abstract

In this paper, a data partitioning method was built and applied to a model of semantic-based image retrieval. An improvement of data partitioning based on the hierarchical structure is proposed in which data regions were created to store images; called the growth partition tree (GP-Tree). Based on this, the neighbor cluster graph was built in order to increase the performance of retrieving similar images. The k-NN algorithm was applied to classify an input query image; then, a SPARQL statement structure was generated and executed on the ontology to extract the semantics of an input image as well as the semantics of the image class. From there, the semantic-based image retrieval model was proposed and experimented on the image datasets ImageCLEF, and Stanford Dogs. The experimental results evaluated and compared with the recently published works on the same datasets and demonstrate that the proposed method improves the retrieval accuracy and efficiency.

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Author information

Authors and Affiliations

  1. HCMC University of Education, Ho Chi Minh City, Vietnam

    Nguyen Minh Hai & Thanh The Van

  2. HUFLIT University, Ho Chi Minh City, Vietnam

    Tran Van Lang

Authors
  1. Nguyen Minh Hai
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  2. Tran Van Lang
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  3. Thanh The Van
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Corresponding author

Correspondence to Thanh The Van .

Editor information

Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Portugal

    Alvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

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Hai, N.M., Van Lang, T., Van, T.T. (2022). Semantic-Based Image Retrieval Using Hierarchical Clustering and Neighbor Graph. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-031-04829-6_4

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