Abstract Paper
Journal of
Computing and Intelligent Systems - JCIS
Title | : GENERATION OF IMAGE CAPTIONS USING DEEP LEARNING TECHNIQUES |
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Author(s) | : Poovizhi M, Prabhu |
Article Information | : Volume 4 - Issue 1 (May - 2020) , 136 - 1443 |
Affiliation(s) | : Asst. Professor in Computer Science, PG Department of Computer Science, Sacred Heart College (Autonomous),Tiurpattur TamilNadu,605601, India |
: Master of Computer Science, PG Department of Computer Science, Sacred Heart College (Autonomous),Tiurpattur TamilNadu,605601, India |
Abstract :
Image Captioning is the concept of developing description of a specified image. It makes the description of an image by identifying the attributes, objects, and the relationship of the image. It generates the image description in two ways by using the syntactic and semantic methodologies. Deep Learning is a learning domain where it used to generate the captions of the image. In this research, the captions of the image are generated using the deep learning architectures of both CNN (Convolutional Neural Network) and RNN (Recurrent Neural Network). It generates the captions with aid of LSTM (Long Short Term Memory) model of deep learning
Keywords | : Convolutional Neural Network (CNN), RNN (Recurrent Neural Network),Support Vector Machines (SVM) |
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Document Type | : Research Paper |
DOI | : Volume 4 - Issue 1 (May - 2020) |
Publication date | : July 09, 2020 |