Authors :
Pritesh Pandey; Dr. Keyur N. Brahmbhatt
Volume/Issue :
Volume 9 - 2024, Issue 3 - March
Google Scholar :
https://tinyurl.com/2yvctvw4
Scribd :
https://tinyurl.com/25rwpt36
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAR1602
Abstract :
A sore subject for understanding an Image is
Image captioning. It is the amalgamation of two key
components in. look and language expression which refers
to ‘NLP (Natural Language Processing)’ & ‘Machine
Vision’ which are considered the most prominent areas of
computing. Image captioning approach has advanced
rapidly because of the events of higher labeling
information and deep neural network. The image
captioning techniques and enhancement supported deep
neural networks are presented along with the features of
specific approaches in this study. The retrieval-based
method is the foremost image captioning technique
premised on deep neural networks. The recovery
technique takes advantage of a looking approach to seek
out an applicable image specification. The •template
based’ approach segregates the image tagging technique
to item recognition along with statements procreation.
For Image Captioning the end to end learning based
techniques have been substantiated remarkably effective.
Renewed dexterous and facile statements can be
procreated by end-to-end learning. In course of the study,
approaches related to Image Captioning are examined
completely along with the discussion of other remaining
challenges.
A sore subject for understanding an Image is
Image captioning. It is the amalgamation of two key
components in. look and language expression which refers
to ‘NLP (Natural Language Processing)’ & ‘Machine
Vision’ which are considered the most prominent areas of
computing. Image captioning approach has advanced
rapidly because of the events of higher labeling
information and deep neural network. The image
captioning techniques and enhancement supported deep
neural networks are presented along with the features of
specific approaches in this study. The retrieval-based
method is the foremost image captioning technique
premised on deep neural networks. The recovery
technique takes advantage of a looking approach to seek
out an applicable image specification. The •template
based’ approach segregates the image tagging technique
to item recognition along with statements procreation.
For Image Captioning the end to end learning based
techniques have been substantiated remarkably effective.
Renewed dexterous and facile statements can be
procreated by end-to-end learning. In course of the study,
approaches related to Image Captioning are examined
completely along with the discussion of other remaining
challenges.
