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Deep learning model for automatic image captioning.

Authors :
Chandhar, Kothakonda
Sandeep, C. H.
Akarapu, Mahesh
Chythanya, Kanegonda Ravi
Thirupathi, V.
Source :
AIP Conference Proceedings. 5/24/2022, Vol. 2418 Issue 1, p1-8. 8p.
Publication Year :
2022

Abstract

Artificial intelligence & Deep Learning plays a vital role in this era. It is doing great progress in all aspects. "Automatic Image Captioning" is a Deep Learning mechanism; its primary aim is to generate the caption for an input Image by the machine. This mechanism initially identify the object in the image by using computer vision (CV) and generate the concise meaning of an image using Natural Language processing (NLP). In this paper we use Convolution Neural Network (CNN), which takes an image as input and assigns importance (suitable biases and weights) to varies object in the given image and it can distinguish one object from other and Long Short Term Memory (LTSM) give the proper meaning to each object in the image and gives a proper description to an entire image. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2418
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
157067961
Full Text :
https://doi.org/10.1063/5.0081847