An accurate generation of image captions for blind people using extended convolutional atom neural network

T Tiwary, RP Mahapatra - Multimedia Tools and Applications, 2023 - Springer
Recently, the progress on image understanding and AIC (Automatic Image Captioning) has
attracted lots of researchers to make use of AI (Artificial Intelligence) models to assist the …

An image caption model based on attention mechanism and deep reinforcement learning

T Bai, S Zhou, Y Pang, J Luo, H Wang… - Frontiers in Neuroscience, 2023 - frontiersin.org
Image caption technology aims to convert visual features of images, extracted by computers,
into meaningful semantic information. Therefore, the computers can generate text …

Character-level Arabic text generation from sign language video using encoder–decoder model

A Boukdir, M Benaddy, O El Meslouhi, M Kardouchi… - Displays, 2023 - Elsevier
Video to text conversion is a vital activity in the field of computer vision. In recent years, deep
learning algorithms have dominated automatic text generation in English, but there are a few …

Automatic image captioning system using a deep learning approach

G Deepak, S Gali, A Sonker, BC Jos, KV Daya Sagar… - Soft Computing, 2023 - Springer
This paper's residual network is tailored to increase the high-quality image caption
generation ability. The captioning is exploited using the relevant content with high-quality …

Image caption generation using transformer learning methods: a case study on instagram image

K Dittakan, K Prompitak, P Thungklang… - Multimedia Tools and …, 2024 - Springer
Nowadays, images are being used more extensively for communication purposes. A single
image can convey a variety of stories, depending on the perspective and thoughts of …

Combining semi-supervised model and optimized LSTM for image caption generation based on pseudo labels

R Padate, A Jain, M Kalla, A Sharma - Multimedia Tools and Applications, 2024 - Springer
Artificial intelligence's crucial area of image captions. It'sa very difficult situation until the
advancement of DL is made. A lot of open challenges remain as robustness, generalization …

High-level and low-level feature set for image caption generation with optimized convolutional neural network

M Kalla, A Jain, A Sharma, R Padate - Journal of Telecommunications and …, 2022 - jtit.pl
Automatic creation of image descriptions, ie captioning of images, is an important topic in
artificial intelligence (AI) that bridges the gap between computer vision (CV) and natural …

A Survey on Automatic Image Captioning Approaches: Contemporary Trends and Future Perspectives

G Salgotra, P Abrol, A Selwal - Archives of Computational Methods in …, 2024 - Springer
The automatic generation of image captions is one of the complex computer vision tasks that
involve integration of object detection and natural language processing (NLP). In recent …

A scaled encoder decoder network for image captioning in Hindi

SK Mishra, S Saha, P Bhattacharyya - Proceedings of the 18th …, 2021 - aclanthology.org
Image captioning is a prominent research area in computer vision and natural language
processing, which automatically generates natural language descriptions for images. Most …

Fashion item captioning via grid-relation self-attention and gated-enhanced decoder

Y Tang, L Zhang, Y Yuan - Multimedia Tools and Applications, 2024 - Springer
Abstract Fashion Item Captioning aims to describe fine-grained item details according to
several image angles, which is an advancement of the conventional image captioning task …