Open AccessImage Captioning System
Author(s) -
Amita Goel Vasudha Bahl and Nidhi Sengar Gaurav Joshi
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061208
Subject(s) - closed captioning , computer science , task (project management) , field (mathematics) , image (mathematics) , artificial intelligence , natural language processing , deep learning , task analysis , mathematics , management , pure mathematics , economics
Deep Learning is relatively a new field and it has grabbed a lot of attention because it provideshigher level of accuracy in recognizing objects than ever earlier. NLP is also one field that hascreated a huge impact in our life. NLP has come a long way from producing a readable summaryof the texts to analysis of mental illness, it shows the impact of NLP. Image captioning taskcombines both NLP and Deep Learning. Describing images in a meaningful way can be doneusing Image captioning. Describing an image don’t just mean recognizing objects, to describe animage properly we first need to identify objects present in the image and then the relationshipbetween those objects. In this study we have used CNN-LSTM based framework. CNN will beused to extract features of the image while with the help of LSTM we will try to generatemeaningful sentences. This study also discusses applications of Image captioning and majorchallenges faced in achieving this task.