Publication Date

Spring 2019

Degree Type

Master's Project

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Robert Chun

Second Advisor

Katerina Potika

Third Advisor

Thomas Austin

Keywords

Image retrieval, deep learning, image captioning

Abstract

The rapid growth in the availability of the Internet and smartphones have resulted in the increase in usage of social media in recent years. This increased usage has thereby resulted in the exponential growth of digital images which are available. Therefore, image retrieval systems play a major role in fetching images relevant to the query provided by the users. These systems should also be able to handle the massive growth of data and take advantage of the emerging technologies, like deep learning and image captioning. This report aims at understanding the purpose of image retrieval and various research held in image retrieval in the past. This report will also analyze various gaps in the past research and it will state the role of image captioning in these systems. Additionally, this report proposes a new methodology using image captioning to retrieve images and presents the results of this method, along with comparing the results with past research.

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