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Increasing the Precision of Image Captioning

Increasing the Precision of Image Captioning

Bhargavi Sundar, Ashwin Karayil Ashokan, Nikhil Lingam
Copyright: © 2021 |Volume: 11 |Issue: 3 |Pages: 16
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781799862048|DOI: 10.4018/IJCVIP.2021070104
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MLA

Sundar, Bhargavi, et al. "Increasing the Precision of Image Captioning." IJCVIP vol.11, no.3 2021: pp.54-69. http://doi.org/10.4018/IJCVIP.2021070104

APA

Sundar, B., Ashokan, A. K., & Lingam, N. (2021). Increasing the Precision of Image Captioning. International Journal of Computer Vision and Image Processing (IJCVIP), 11(3), 54-69. http://doi.org/10.4018/IJCVIP.2021070104

Chicago

Sundar, Bhargavi, Ashwin Karayil Ashokan, and Nikhil Lingam. "Increasing the Precision of Image Captioning," International Journal of Computer Vision and Image Processing (IJCVIP) 11, no.3: 54-69. http://doi.org/10.4018/IJCVIP.2021070104

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Abstract

In our everyday life, we come across various media that facilitate communication. Photography is one such medium used for visual communication. Although it is easy for human beings to look at a picture and describe it, it is often a hard task for a computer to generate a caption automatically if a photograph is fed to it. The recent development in deep learning and neural network has made this problem easier to work on especially if the relevant datasets are provided. This paper attempts to comprehensively summarize and present a unique perspective of the prevalent systems developed to address this problem of image captioning.

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