EXPLORING SIMILAR IMAGE RETRIEVAL THROUGH RESNET-50 AND NEAREST NEIGHBOR TECHNIQUES

Registration ID: IJNRD_224937

Published ID: IJNRD2407178

DOI: Click Here to Get

K.s. Bhavitha , Dr.N.Sudhakar Reddy

Image retrieval, Deep learning, ResNet-50, Nearest neighbors, Dimensionality reduction, Visualization, Computer vision.

Image retrieval, the task of finding similar images within a dataset, is a fundamental challenge in computer vision with numerous real-world applications. In this study, we explore the domain of image retrieval, aiming to develop an effective methodology for identifying visually similar images. Leveraging advanced deep learning techniques, particularly the ResNet-50 model, we extract high-dimensional feature representations from images, capturing their intrinsic visual characteristics. These features serve as the basis for training a nearest neighbor model, facilitating efficient similarity search based on Euclidean distance metrics. Furthermore, we employ dimensionality reduction techniques, including Principal Component Analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE), to visualize the underlying structure of the dataset. Through this visualization, we gain valuable insights into the distribution and clustering of images, aiding in the interpretation of retrieval results. Our work presents a comprehensive approach to image retrieval, integrating cutting-edge deep learning algorithms with classical machine learning techniques and visualization methods. By harnessing the power of artificial intelligence, we strive to advance the field of image analysis and enable more efficient and intuitive image retrieval systems for various applications.

Published Paper   E-Certificate

K.s. Bhavitha & Dr.N.Sudhakar Reddy (July-2024). EXPLORING SIMILAR IMAGE RETRIEVAL THROUGH RESNET-50 AND NEAREST NEIGHBOR TECHNIQUES. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), b753-b760. https://ijnrd.org/papers/IJNRD2407178.pdf

Volume 9 Issue 7, July-2024

Pages : b753-b760

Paper Reg. ID: IJNRD_224937

Published Paper Id: IJNRD2407178

Downloads: 000121982

Research Area: Computer Engineering 

Country: CHITTOR, AP, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407178.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407178

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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