Image captioning refers to the process of creating a natural language description for one or more images. This task has several practical applications, from aiding in medical diagnoses through image ...

This paper proposes a new encoder-decoder frame-work based on Convolutional Neural Networks (CNN) for feature extraction and Long Short-Term Memory (LSTM) networks for image caption generation. Image ...

Automatic image captioning, which involves generating textual descriptions from visual content, is a challenging and multidisciplinary task combining computer vision and natural language processing.

Image captioning enables computers understand and interpret visual content by bridging the gap between natural language processing and computer vision. The model proposed in this paper for image ...

In this study, we extracted features from images using the VGG16 model of CNN, which serves as an encoder, along with the Flickr dataset. A Long Short-Term Memory acts as a decoder, using the built-in ...