JOURNAL ARTICLE

Image Captioning Generator Using CNN and LSTM

Mandeep Kumar

Year: 2022 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 10 (6)Pages: 2847-2851   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

Abstract: The project's goal is to come up with a caption for an image. Photograph captioning is the process of making a description for an image. It necessitates an understanding of the important things, their characteristics, and the relationships between them.an image's objects Deep learning techniques have progressed, and as a result, we can create models that can predict the future thanks to the availability of large datasets and computing power. Create captions for a picture This is what we've done in Python-based research in which we applied CNN's deep learning algorithm (Convolutional Neural Networks) and LSTM (Long Short-Term Memory) are two types of neural networks. Combining different types of RNNs (Recurrent Neural Networks) so that computer vision can be used A computer can recognize the context of a picture and present it in the appropriate context

Keywords:
Closed captioning Computer science Python (programming language) Convolutional neural network Artificial intelligence Deep learning Recurrent neural network Image (mathematics) Generator (circuit theory) Context (archaeology) Visualization Process (computing) Artificial neural network Machine learning Power (physics) Programming language

Metrics

3
Cited By
0.37
FWCI (Field Weighted Citation Impact)
7
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Multimodal Machine Learning Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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