Image Caption Generator: A Comprehensive Research
Danish Farooqui
, Jafar Abbas Rizvi , Er. Sarika Singh , Er. Ratan Rajan
image captioning, deep learning techniques, concepts of image captioning, CNNs, RNNs, LSTM, VGG-16
The Image Caption Generator is an intriguing project that bridges the domains of computer vision and natural language processing, aiming to automatically generate descriptive text for images. In the last decade, considerable progress has been made, yet key challenges in optimizing Convolutional Neural Networks (CNNs) for precise image feature extraction and refining Long Short-Term Memory (LSTM) networks for coherent text generation persist. Challenges include overfitting, limited context understanding, and difficulties in modelling long-range dependencies. Solutions have emerged in the form of attention mechanisms, which help focus on relevant image regions, and advanced LSTM architectures like the use of Gated Recurrent Units (GRUs) to improve sequential modelling. These innovations have significantly enhanced the overall performance, leading to more accurate and contextually relevant image captions, ultimately advancing the synergy between computer vision and natural language processing in the realm of image captioning.
"Image Caption Generator: A Comprehensive Research", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.12, Issue 4, page no.b181-b185, April-2025, Available :https://tijer.org/TIJER/papers/TIJER2504165.pdf
Volume 12
Issue 4,
April-2025
Pages : b181-b185
Paper Reg. ID: TIJER_157695
Published Paper Id: TIJER2504165
Downloads: 000436
Research Area: Science and Technology
Country: LUCKNOW, UTTAR PRADESH, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
