Comparative Analysis of Various Deep Learning Models for Automatic Image Captioning |
Author(s): |
| Vasu Jain , Sat Kabir Institute of Technology and Management; Shalini Verma, Sat Kabir Institute of Technology and Management |
Keywords: |
| Image Captioning, Deep Learning, Encoder, Decoder |
Abstract |
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Generating a description of an image is called image captioning. Image captioning requires recognizing the important objects, their attributes, and their relationships in an image. This process has many potential applications in real life. A noteworthy one would be to save the captions of an image so that it can be retrieved easily at a later stage just on the basis of this description. In this survey article, we aim to present a comprehensive review of existing deep-learning-based image captioning techniques. We discuss the foundation of the techniques to analyze their performances, strengths, and limitations. We also discuss the datasets and the evaluation metrics popularly used in deep-learning-based automatic image captioning. |
Other Details |
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Paper ID: IJSRDV8I50117 Published in: Volume : 8, Issue : 5 Publication Date: 01/08/2020 Page(s): 127-131 |
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