Enhancing Visual Understanding through Natural Language Descriptions

Enhancing Visual Understanding through Natural Language Descriptions

Registration ID: IJNRD_209598

Published ID: IJNRD2311350

DOI: Click Here to Get

Mohd Ali , Mujeeburrahman , Modassir Imran , Shefalii Sharma

Convolutional Neural Networks, image captioning

In today's world, pictures and images are everywhere, and we want to make them even more understandable by using words. This research project is about a cool idea called "image captioning." We're trying to make a smart computer system that can look at pictures, understand what's in them, and then write sentences that describe the pictures in a way that people can easily understand. To make this happen, we're using two important things: special computer programs for looking at pictures (they're called Convolutional Neural Networks), and other programs that know how to talk in human-like sentences (like people do). These two parts work together to make the computer describe pictures just like a person would. Our main goal is to create captions for pictures that are both accurate (they say the right things) and sound like something a real person would say. We're not just interested in naming things in the pictures, but also in describing how things are arranged and what's happening. This project is important because it can help us organize pictures better, make them more accessible for people with different needs, and even help us understand art better. We have ways to test how well our computer system is doing by using some special measurements. Also, we're making sure our system can handle all sorts of pictures, no matter how different they are. In short, we're trying to make computers really good at understanding pictures and explaining them in a way that everyone can understand. We believe that by combining the brainpower of computers and people, we can make the world of images and words come together in a more meaningful and interesting way.

Published Paper   E-Certificate

"Enhancing Visual Understanding through Natural Language Descriptions ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d470-d474, November-2023, Available :https://ijnrd.org/papers/IJNRD2311350.pdf

Volume 8 Issue 11, November-2023

Pages : d470-d474

Paper Reg. ID: IJNRD_209598

Published Paper Id: IJNRD2311350

Downloads: 000121114

Research Area: Computer Engineering 

Country: Azamgarh, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311350.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311350

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area