Skip to main content
Have a personal or library account? Click to login
Interpretable Region-Attribute Graph Matching Framework for Structure-Aware and Explainable Content-Based Image Retrieval Cover

Interpretable Region-Attribute Graph Matching Framework for Structure-Aware and Explainable Content-Based Image Retrieval

Open Access
|Sep 2026

References

  1. AmaithiRajan, A., V. Vetriselvi, M. Ajitesh, R. Praveen Kumar. Secure and Fault-Tolerant Cloud-Based Framework for Medical Image Storage and Retrieval in a Distributed Environment. – Scientific Reports, Vol. 15, 2025, No 1, 32965.
  2. Emanuilov, S., A. Dimov. Billion-Scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering. – Cybernetics and Information Technologies, Vol. 24, 2024, No 4, pp. 45-58.
  3. Rahmawati, L., S. Rustad, A. Marjuni, M. Arief, C. S. Soeleman, G. F. Shidik. Transmission Map Refinement Using Laplacian Transform on Single Image Dehazing Based on Dark Channel Prior Approach. – Cybernetics and Information Technologies, Vol. 24, 2024, No 4, pp. 124-142.
  4. Mahbod, A., N. Saeidi, S. Hatamikia, R. Woitek. Evaluating Pre-Trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-Based Medical Image Retrieval. – Engineering Applications of Artificial Intelligence, Vol. 150, 2025, 110571.
  5. Kugunavar, S., C. J. Prabhakar. Medical Image Retrieval Using ROI Extraction and a Hybrid Bag-of-Features Model. – Journal of Electrical Systems and Information Technology, Vol. 12, 2025, No 1, 34.
  6. KhunJush, F., S. Vogler, M. Lenga. Content-Based 3D Image Retrieval and a ColBERT-Inspired Re-Ranking for Tumor Flagging And Staging. – Journal of Imaging Informatics in Medicine, 2025.
  7. Ce p, R., M. Elangovan, J. V. N. Ramesh, M. K. Chohan, A. Verma. Convolutional Fine-Tuned Threshold Adaboost Approach for Effectual Content-Based Image Retrieval. – Scientific Reports, Vol. 15, 2025, No 1, 9087.
  8. Gautam, G., A. Khanna. Content-Based Image Retrieval System Using CNN-Based Deep Learning Models. – Procedia Computer Science, Vol. 235, 2024, pp. 3131-3141.
  9. Pacheco, S. A. B., M. Goyani, Z. G. Rehman, S. F. Rehman, T. Champaneria, S. Goyani. Enhanced Content-Based Image Retrieval Using Multivisual Features Fusion. – International Journal of Computers and Applications, Vol. 47, 2025, No 10, pp. 835-856.
  10. SalmanAl - Tameemi, I. K., M. R. Feizi - Derakhshi, Z. Farhadi, A. R. Feizi - Derakhshi. Hybrid Model for Visual Sentiment Classification Using Content-Based Image Retrieval and Multi-Input Convolutional Neural Network. – International Journal of Intelligent Systems, Vol. 2025, 2025, No 1, 5581601.
  11. Denner, S., D. Zimmerer, D. Bounias, M. Bujotzek, S. Xiao, R. Stock, L. Kausch, P. Schader, T. Penzkofer, P. F. J ä ger, K. Maier-Hein. Leveraging Foundation Models for Content-Based Image Retrieval in Radiology. – Computers in Biology and Medicine, Vol. 196, 2025, 110640.
  12. Rani, S., G. Kasana, S. Batra. An Efficient Content-Based Image Retrieval Framework Using Separable CNNs. – Cluster Computing, Vol. 28, 2024, No 1, 56.
  13. Moon, C., M. H. Kim, J. K. Min. Efficient Top-K Content-Based Image Retrieval Exploiting Matrix Division toward SIFT. – IEEE Access, Vol. 13, 2025, pp. 157264-157275.
  14. Taheri, F., K. Rahbar. Content-Based Image Retrieval Based on Luminance and Texture Decomposition. – The Computer Journal, 2025, pp. 1699-1710.
  15. Kumar, R., N. Murthy. Relevance-Aware Content-Based Image Retrieval Using Deep Hybrid Feature Extraction. – Engineering, Technology & Applied Science Research, Vol. 15, 2025, No 3, pp. 22976-22982.
  16. Dogan, B., H. B. Mutlu, M. Yildirim, S. Yalcin, S. Aslan, N. Sampathila, O. Yildirim, E. J. Ciaccio, R. S. Tan, U. R. Acharya. Content-Based Brain Magnetic Resonance Image Retrieval and Classification with the Proposed Deep Learning and Tissue-Based System. – IEEE Access, Vol. 13, 2025, pp. 122684-122697.
  17. Narayanaswamy, R. A., V. K. Gowda, G. N. K. Murthy. Content-Based Image Retrieval Using the 2-Dimensional Convolutional Neural Network. – International Journal of Intelligent Engineering & Systems, Vol. 17, 2024, No 4, pp. 67-76.
  18. Raju, G. K., P. Padmanabham, A. Govardhan. Enhanced Content-Based Image Retrieval with Trio-Deep Feature Extractors with Multi-Similarity Function. – International Journal of Intelligent Engineering & Systems, Vol. 15, 2022, No 6, pp. 511-525.
  19. Shi, K., X. Liu, M. Alrabeiah, X. Guo, J. Lin, H. Liu, J. Chen. Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing. – Information, Vol. 13, 2022, No 3, 106.
  20. Li, X. P., G. H. Liu, F. Lu. Image Retrieval Using Multi-Layer Orientation Histograms. – Neural Processing Letters, Vol. 57, 2025, No 2, pp. 33.
  21. An, G., W. J. Kim, S. Yang, R. Li, Y. Huo, S. E. Yoon. Towards Content-Based Pixel Retrieval in Revisited Oxford and Paris. – In: ICCV, 2023, pp. 20507-20518.
  22. Park, D., Y. Hwang. Efficient Image Retrieval Using Hierarchical k-Means Clustering. – Sensors, Vol. 24, 2024, No 8, 2401.
  23. Zhang, B. J., G. H. Liu, Z. Li, S. X. Song. Image Retrieval Using Compact Deep Semantic Correlation Descriptors. – Information Processing & Management, Vol. 61, 2024, No 3, 103608.
  24. Liu, G. H., Z. Y. Li, J. Y. Yang, D. Zhang. Exploiting Sublimated Deep Features for Image Retrieval. – Pattern Recognition, Vol. 147, 2024, 110076.
  25. Zhu, Y., X. Gao, B. Ke, R. Qiao, X. Sun. Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval. – In: ICCV, 2023, pp. 11260-11269.
  26. ROxfordDataset (accessed on November 2025).
  27. https://www.kaggle.com/datasets/qiubit/roxfordparis/data
  28. Wu, M., Q. Zhong. Image Enhancement Algorithm Combining Histogram Equalization and Bilateral Filtering. – Systems and Soft Computing, Vol. 6, 2024, 200169.
  29. Wang, S., S. Jiang. Instre: A New Benchmark for Instance-Level Object Retrieval and Recognition. – ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 11, 2015, No 3, 37.
DOI: https://doi.org/10.2478/cait-2026-0032 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Language: English
Page range: 185 - 207
Submitted on: Mar 11, 2026
Accepted on: May 11, 2026
Published on: Sep 9, 2026
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services

© 2026 Prabhuraj Metipatil, M. S. Mrutyunjaya, Sanjeev Prakashrao Kaulgud, Sunil Manoli, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.