Low Cost Journal,International Peer Reviewed and Refereed Journals,Fast Paper Publication approved journal IJEDR(ISSN 2321-9939) apply for ugc care approved journal, UGC Approved Journal, ugc approved journal, ugc approved list of journal, ugc care journal, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, Low cost research journal, Online international research journal, Peer-reviewed, and Refereed Journals, scholarly journals, impact factor 7.37 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool)
INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

Current Issue

Call For Papers
July 2022

Volume 10 | Issue 3
Last Date : 29 July 2022
Review Results: Within 12-20 Days

For Authors

Archives

Indexing Partner

Research Area

LICENSE

Paper Details
Paper Title
Social Media Image Caption Generation Using Deep Learning
Authors
  Omkar Nitin Shinde,  Rishikesh Gawde,  Anurag Paradkar

Abstract
Image captioning for Social Media—the task of providing caption of the content within an image—lies at the intersection of Computer Vision (CV) and Natural Language Processing (NLP). In this paper, we present a model based on a recurrent architecture that combines the recent advances in computer vision and machine translation and thus it can be used to generate captions for an image. It is an integral task which requires semantic understanding of images and the ability of generating Captions with proper relevant meaning and structure. The main aim of the paper is to train Convolutional Neural Network (CNN) and Long Short term memory (LSTM) model with many hyper parameters which extract features from the image and map these features to their appropriate descriptive keywords and apply it on a large dataset of pictures and combine the results with a Recurrent Neural Network (RNN) to generate dynamic and suitable captions and hash tags for social media for the classified image. Using the Flickr8K, Flickr30K datasets and also we had designed our own dataset of different categories of image in order to show more accuracy in generating captions.

Keywords- Image Captioning, Computer Vision, Convolutional Neural Network, Recurrent Neural Network, Long Short term memory
Publication Details
Unique Identification Number - IJEDR2004036
Page Number(s) - 222-228
Pubished in - Volume 8 | Issue 4 | December 2020
DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.25198
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Omkar Nitin Shinde,  Rishikesh Gawde,  Anurag Paradkar,   "Social Media Image Caption Generation Using Deep Learning", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 4, pp.222-228, December 2020, Available at :http://www.ijedr.org/papers/IJEDR2004036.pdf
Share This Article


Article Preview

ISSN Details




DOI Details



Providing A digital object identifier by DOI
How to get DOI?

For Reviewer /Referral (RMS)

Important Links

NEWS & Conference

Digital Library

Our Social Link

© Copyright 2022 IJEDR.ORG All rights reserved