A Study on Image Retrieval Methods, M.Sc. Thesis Sharif University of Technology ; Razvan, Mohammad-Reza (Supervisor) ; Kamali-Tabrizi, Mostafa (Co-Supervisor)
Abstract
Image retrieval refers to the task of finding images related to a query image within an image set. Due to ever-increasing volumes of data, it has become increasingly necessary to find suitable and efficient methods for searching in massive databases. In this thesis, modern image retrieval techniques developed within the last 15 years have been studied, with an aim to satisfy three primary constraints of efficiency, accuracy, and low memory usage. Our focus has been on content-based retrieval; meaning that instead of using text and other information, we directly utilize image features for analysis and processing. To achieve this, we studied two established techniques, the bag-of-words model,...
Cataloging briefA Study on Image Retrieval Methods, M.Sc. Thesis Sharif University of Technology ; Razvan, Mohammad-Reza (Supervisor) ; Kamali-Tabrizi, Mostafa (Co-Supervisor)
Abstract
Image retrieval refers to the task of finding images related to a query image within an image set. Due to ever-increasing volumes of data, it has become increasingly necessary to find suitable and efficient methods for searching in massive databases. In this thesis, modern image retrieval techniques developed within the last 15 years have been studied, with an aim to satisfy three primary constraints of efficiency, accuracy, and low memory usage. Our focus has been on content-based retrieval; meaning that instead of using text and other information, we directly utilize image features for analysis and processing. To achieve this, we studied two established techniques, the bag-of-words model,...
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