Image Caption Generator by using CNN and LSTM

Author(s)	S. Pasupathy
Country	India
Abstract	In this article, we systematically analyze a deep neural networks-based image caption generation method. Image Captioning aims to automatically generate a sentence description for an image. Our article model will take an image as input and generate on English sentence as output, describing the contents of the image. It has attracted much research attention in cognitive computing in the recent years. The task is rather complex, as the concepts of both computer vision and natural language processing domains are combined together. We have developed a model using the concepts of a Convolutional Neural Network (CNN) and long Short-Term Memory (LSTM) model and build a working model of Image caption generator by implementing CNN and LSTM. After the caption generation phase, we use BLEU Scores to evaluate the efficiency of our model. Thus, our system helps the user to get descriptive caption for the given input image.
Keywords	Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), BiLingual Evaluation Understudy (BLEU)
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 2, March-April 2023
Published On	2023-04-23
Cite This	Image Caption Generator by using CNN and LSTM - S. Pasupathy - IJFMR Volume 5, Issue 2, March-April 2023. DOI 10.36948/ijfmr.2023.v05i02.2501
DOI	https://doi.org/10.36948/ijfmr.2023.v05i02.2501
Short DOI	https://doi.org/gr6h89

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