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Text-Based Image Retrieval Using Deep Learning

Text-Based Image Retrieval Using Deep Learning

Udit Singhania, B. K. Tripathy
ISBN13: 9781799834793|ISBN10: 1799834794|EISBN13: 9781799834809
DOI: 10.4018/978-1-7998-3479-3.ch007
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MLA

Singhania, Udit, and B. K. Tripathy. "Text-Based Image Retrieval Using Deep Learning." Encyclopedia of Information Science and Technology, Fifth Edition, edited by Mehdi Khosrow-Pour D.B.A., IGI Global, 2021, pp. 87-97. https://doi.org/10.4018/978-1-7998-3479-3.ch007

APA

Singhania, U. & Tripathy, B. K. (2021). Text-Based Image Retrieval Using Deep Learning. In M. Khosrow-Pour D.B.A. (Ed.), Encyclopedia of Information Science and Technology, Fifth Edition (pp. 87-97). IGI Global. https://doi.org/10.4018/978-1-7998-3479-3.ch007

Chicago

Singhania, Udit, and B. K. Tripathy. "Text-Based Image Retrieval Using Deep Learning." In Encyclopedia of Information Science and Technology, Fifth Edition, edited by Mehdi Khosrow-Pour D.B.A., 87-97. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3479-3.ch007

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Abstract

This chapter is mainly an advanced version of the previous version of the chapter named “An Insight to Deep Learning Architectures” in the encyclopedia. This chapter mainly focusses on giving the insights of information retrieval after the year 2014, as the earlier part has been discussed in the previous version. Deep learning plays an important role in today's era, and this chapter makes use of such deep learning architectures which have evolved over time and have proved to be efficient in image search/retrieval nowadays. In this chapter, various techniques to solve the problem of natural language processing to process text query are mentioned. Recurrent neural nets, deep restricted Boltzmann machines, general adversarial nets have been discussed seeing how they revolutionize the field of information retrieval.

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