| Title | Generating Image Captions using Deep Learning and Natural Language Processing |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Gupta, Subhash Chand, Singh, Nidhi Raj, Sharma, Tulsi, Tyagi, Akshita, Majumdar, Rana |
| Conference Name | 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) |
| Keywords | convolutional neural network, Deep Learning, Generators, Human Behavior, Image Captioning, image processing, Long Short Term Memory (LSTM), Market research, natural language processing, pubcrawl, recurrent neural network, resilience, Resiliency, Scalability, Tools, Web sites |
| Abstract | In today's world, there is rapid progress in the field of artificial intelligence and image captioning. It becomes a fascinating task that has saw widespread interest. The task of image captioning comprises image description engendered based on the hybrid combination of deep learning, natural language processing, and various approaches of machine learning and computer vision. In this work authors emphasize on how the model generates a short description as an output of the input image using the functionalities of Deep Learning and Natural Language Processing, for helping visually impaired people, and can also be cast-off in various web sites to automate the generation of captions reducing the task of recitation with great ease. |
| DOI | 10.1109/ICRITO51393.2021.9596486 |
| Citation Key | gupta_generating_2021 |
Generating Image Captions using Deep Learning and Natural Language Processing