Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2
Blockchain Framework for Communication between Vehicle through IoT Devices and Sensors
Volume-3 | Issue-2
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3
A Review on Data Securing Techniques using Internet of Medical Things
Volume-3 | Issue-3
Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2
Maximizing the Prediction Accuracy in Tweet Sentiment Extraction using Tensor Flow based Deep Neural Networks
Volume-3 | Issue-2
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
DDOS ATTACK DETECTION IN TELECOMMUNICATION NETWORK USING MACHINE LEARNING
Volume-1 | Issue-1
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2
Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2
Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
Volume-3 | Issue-4
Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2
Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
Design of Data Mining Techniques for Online Blood Bank Management by CNN Model
Volume-3 | Issue-3
Ethereum and IOTA based Battery Management System with Internet of Vehicles
Volume-3 | Issue-3
Volume - 5 | Issue - 1 | march 2023
Published
02 March, 2023
Image captioning is the process of using clear, meaningful words to describe the characteristics of an image. This feature has wide applications in social networking applications such as Facebook and Instagram, and video streaming platforms such as YouTube and Netflix, where the need to verbalize an image or video is evident. Image captioning is also one of the most requested features in next-generation AI systems. It has huge applications in the Deep Learning domain. Much research is actively being done on image captioning, which can solve a good deal of real time problems such as the need for a system that can aid visually disabled people, creating effective captions that can be incorporated in self-driving vehicles, etc. This elaborate yet useful feature can be incorporated with the help of various technical concepts such as Natural Language Processing, Computer vision, Image Processing, etc. The image captioning feature has already been attempted on English language and with the help of extensive research and technical advancements these attempts have been fruitful and successful. Nowadays, there are many applications and models available based on image captioning of English language. This has paved a path for further advancements in this domain. A lot of research are now being undertaken to incorporate this highly useful feature with non-English languages. English being the native language for a relatively smaller proportion of people, it would be helpful for people whose native language is not English, to get their images captioned in the language of their choice. This research focuses on image captioning in Tamil language and its underlying methodology and architecture. Moreover, the paper also includes experiments related to this with the help of an image captioning model which uses a combination of Convolution Neural Network and Long Short -Term Memory models.
KeywordsImage Captioning in Tamil Convolution Neural Network (CNN) Long Short -Term Memory (LSTM) Natural Language Processing (NLP) Computer Vision Image Processing Artificial Intelligence Deep Learning
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