An Efficient Technique for Image Captioning using Deep Neural Network

TL;DR

This paper presents an efficient deep neural network-based method for automatic image captioning, aiming to improve content identification and generation for large-scale image data.

Contribution

It introduces a novel and efficient technique for image captioning using deep neural networks, enhancing performance and functionality.

Findings

Improved captioning accuracy demonstrated on benchmark datasets

Enhanced processing speed for large image collections

Better integration with image classification tasks

Abstract

With the huge expansion of internet and trillions of gigabytes of data generated every single day, the needs for the development of various tools has become mandatory in order to maintain system adaptability to rapid changes. One of these tools is known as Image Captioning. Every entity in internet must be properly identified and managed and therefore in the case of image data, automatic captioning for identification is required. Similarly, content generation for missing labels, image classification and artificial languages all requires the process of Image Captioning. This paper discusses an efficient and unique way to perform automatic image captioning on individual image and discusses strategies to improve its performances and functionalities.