Enhancing Image Retrieval: A Survey and Insights on Feature Descriptor Preparation Methods

Feature descriptors play a crucial role in image retrieval by representing images in a compact and discriminative manner. This survey paper explores various techniques for preparing feature descriptors used in image retrieval systems. We categorize the approaches into traditional handcrafted descriptors and deep learning-based descriptors. For each category, we discuss popular techniques, their underlying principles, and their advantages and limitations. We also provide insights into recent advancements and benchmark datasets used for evaluation. In order to help academics and practitioners choose the best strategies for their applications, this survey attempts to give them a thorough grasp of feature descriptor preparation methods in image retrieval.

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Publication Details

Published
2025-02-27
DOI
https://doi.org/10.1109/isacc65211.2025.10969326
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
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Enhancing Image Retrieval: A Survey and Insights on Feature Descriptor Preparation Methods

Satya Keerthi Gorripati, Srikanth Lukka
Image Retrieval and Classification Techniques
article

Enhancing Image Retrieval: A Survey and Insights on Feature Descriptor Preparation Methods

Satya Keerthi Gorripati, Srikanth Lukka
article en

Abstract

Feature descriptors play a crucial role in image retrieval by representing images in a compact and discriminative manner. This survey paper explores various techniques for preparing feature descriptors used in image retrieval systems. We categorize the approaches into traditional handcrafted descriptors and deep learning-based descriptors. For each category, we discuss popular techniques, their underlying principles, and their advantages and limitations. We also provide insights into recent advancements and benchmark datasets used for evaluation. In order to help academics and practitioners choose the best strategies for their applications, this survey attempts to give them a thorough grasp of feature descriptor preparation methods in image retrieval.

Andhra University (IN)
Openalex Percentile: Top 93%
Image Retrieval and Classification Techniques
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