Natural Language Description Generation for Image using Deep Learning Architecture

Automatic natural description generation of an image is currently a challenging task. To generate a natural language description of the image, the system is implemented by combining with the techniques of computer vision and natural language processing. This paper presents different deep learning models for generating the natural language description of the image. Moreover, we discussed how the deep learning model, which works for the natural language description of an image, can be implemented. This deep learning model consists of Convolutional Neural Network CNN as well as Recurrent Neural Network RNN . The CNN is used for extracting the features from the image and RNN is used for generating the natural language description. To implement the deep learning model in generating the natural language description of an image, we have applied the Flickr 8K dataset and we have also evaluated the performance of the model using the standard evaluation matrices. These experiments show that the model is frequently giving accurate natural language descriptions for an input image. Phyu Phyu Khaing | Mie Mie Aung | Myint San "Natural Language Description Generation for Image using Deep Learning Architecture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26708.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/26708/natural-language-description-generation-for-image-using-deep-learning-architecture/phyu-phyu-khaing