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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
A Comprehensive Survey on Image Description Generation Techniques
Authors
Praveen Kumar Tripathi, Dr. Shambhu Bharadwaj
Keywords
Deep learning, Natural Language Processing, Image Captioning, ResNet, LSTM, Recurrent Neural Network, Convolutional Neural Network.
Abstract
Image captioning systems combine computer vision and natural language processing to generate accurate descriptions of images. The computer vision module extracts relevant information from images, while the NLP module constructs coherent and meaningful captions. This technology has gained significant interest due to its applications in analyzing large image datasets, detecting patterns for machine learning, and developing assistive software for the visually impaired. This study focuses on image captioning using neural networks, specifically ResNet as the encoder for image data, CNN for video subtitles, and LSTM (Long-Short-Term Memory) as the decoder.
IJCRT's Publication Details
Unique Identification Number - IJCRT2407114
Paper ID - 264960
Page Number(s) - a902-a911
Pubished in - Volume 12 | Issue 7 | July 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Praveen Kumar Tripathi, Dr. Shambhu Bharadwaj, "A Comprehensive Survey on Image Description Generation Techniques", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 7, pp.a902-a911, July 2024, Available at :http://www.ijcrt.org/papers/IJCRT2407114.pdf
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Volume 14 | Issue 2
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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