ISSN2456-3315
Impact Factor10.57
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CrossRefDOI
ESTD2016
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Paper Title
Content-Based Image Retrieval System Utilizing Vision Transformer
Authors
Aniket Vijaykumar Mahajan , Nirmiti Nitin Rane , Pranav Patil
Keywords
Content-Based Image Retrieval (CBIR), Vector Space Model (VSM), Natural Language Processing (NLP), SQL Query Generation, Feature Extraction, Synonym Expansion, Machine Learning, Image Classification, Image Features, Data Processing, Search Algorithms, User Interaction, User Relevance Feedback, Binary Feedback, Textual Feedback, Adaptive Retrieval, Relevance Ranking, Corel 1k Dataset
Abstract
This paper presents a Content-Based Image Retrieval (CBIR) system that utilizes a Vector Space Model (VSM) combined with advanced Natural Language Processing (NLP) techniques and user relevance feedback to improve image search accuracy and efficiency. The proposed framework incorporates NLP to parse user queries, generate synonyms, and construct SQL queries for feature extraction. It leverages a novel quadtree-based feature extraction method using a Vision Transformer to capture fine-grained image details. Crucially, the system incorporates both binary (like/dislike) and textual feedback from users to dynamically adjust feature weights and incorporate new, user-provided keywords. By assigning weights to relevant features derived from the Vision Transformer's probabilistic outputs and user feedback, the system enhances the retrieval process, enabling more precise and personalized matching of images.
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IJRTI — journal style
"Content-Based Image Retrieval System Utilizing Vision Transformer", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 2, page no.a786-a790, February-2025, Available :https://ijrti.org/papers/IJRTI2502080.pdf
APA — 7th edition
Mahajan, A. V., Rane, N. N., & Patil, P. (2025). Content-Based Image Retrieval System Utilizing Vision Transformer. International Journal for Research Trends and Innovation, 10(2), a786-a790. https://doi.org/10.5281/zenodo.14934936
MLA — 9th edition
Mahajan, Aniket Vijaykumar, et al. "Content-Based Image Retrieval System Utilizing Vision Transformer." International Journal for Research Trends and Innovation, vol. 10, no. 2, 2025, pp. a786-a790, https://doi.org/10.5281/zenodo.14934936.
Chicago — 17th, bibliography
Mahajan, Aniket Vijaykumar, Nirmiti Nitin Rane, and Pranav Patil. "Content-Based Image Retrieval System Utilizing Vision Transformer." International Journal for Research Trends and Innovation 10, no. 2 (2025): a786-a790. https://doi.org/10.5281/zenodo.14934936.
Harvard — author–date
Mahajan, A.V., Rane, N.N. and Patil, P. (2025) 'Content-Based Image Retrieval System Utilizing Vision Transformer', International Journal for Research Trends and Innovation, 10(2), pp. a786-a790. Available at: https://doi.org/10.5281/zenodo.14934936
IEEE — numbered reference
A. V. Mahajan, N. N. Rane and P. Patil, "Content-Based Image Retrieval System Utilizing Vision Transformer," IJRTI, vol. 10, no. 2, pp. a786-a790, Feb. 2025, doi: 10.5281/zenodo.14934936.
Vancouver — biomedical
Mahajan AV, Rane NN, Patil P. Content-Based Image Retrieval System Utilizing Vision Transformer. IJRTI. 2025 Feb;10(2):a786-a790. doi: 10.5281/zenodo.14934936
AMA — 11th edition
Mahajan AV, Rane NN, Patil P. Content-Based Image Retrieval System Utilizing Vision Transformer. IJRTI. 2025;10(2):a786-a790. doi:10.5281/zenodo.14934936
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2502080,
author = {Aniket Vijaykumar Mahajan and Nirmiti Nitin Rane and Pranav Patil},
title = {Content-Based Image Retrieval System Utilizing Vision Transformer},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {2},
pages = {a786-a790},
year = {2025},
month = {February},
issn = {2456-3315},
doi = {10.5281/zenodo.14934936},
url = {https://doi.org/10.5281/zenodo.14934936}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Mahajan, Aniket Vijaykumar
AU - Rane, Nirmiti Nitin
AU - Patil, Pranav
TI - Content-Based Image Retrieval System Utilizing Vision Transformer
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 2
PY - 2025
SN - 2456-3315
DO - 10.5281/zenodo.14934936
UR - https://doi.org/10.5281/zenodo.14934936
SP - a786-a790
ER -
Issue
Volume 10 Issue 2,
February-2025
Pages : a786-a790
Other Publication Details
Paper Reg. ID
IJRTI_200865
Published Paper ID
IJRTI2502080
Downloads
205,656
Research Area
Computer Science & TechnologyÂ
Country
Kalyan, Thane, Maharashtra, India
Published
February 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2502080.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2502080
CrossRef DOI
https://doi.org/10.5281/zenodo.14934936
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About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
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Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
