Research

Masters Thesis

Title: Distributed Spatiotemporal Video Annotation Platform

I have proposed a novel distributed video annotation platform that explores the spatial information as well as temporal information. For the proposed platform, I have proposed temporal feature descriptors, Volume Local Directional Ternary Pattern-Three Orthogonal Planes (VLDTP-TOP) in a distributed manner using spark. Furthermore, introduce a video annotation dataset, namely STAD which provides ground truth for spatial as well as temporal information.

Research Interest

• Image/Video Processing

• Video Annotation

• Computer Vision

• Deep Learning

• Distributed Processing

• Big Data

Academic Project Development

Video Annotation Platform

Java, Spark, Deep Learning, OpenCV

SIAT: Distributed video data analytics where video data is managed and retrieve information from the CCTV camera through artificial intelligence and data mining. I am working as a research assistant in the Data & Knowledge Engineering Lab (DKE-Lab) under the supervision of Prof. Young-Koo Lee. I am working on the SIAT Cloud Platform. I have developed a Video Annotation Cloud platform using JAVA. Moreover, I have developed a CNN framework using Java. Currently, I am developing CNN APIs using python.

E-Ticketing

PHP, HTML, CSS, MySQL.

In the 4th semester for the Database lab, I developed this project. It has been created for Bangladesh naval route. Launch information, launch route search, launch fare information can be easily gathered from the Application. A registered member can also buy a ticket from this application. All purchase information is maintained with a beautiful dashboard.

CMS (Article)

PHP, HTML, CSS, MySQL.

In BITM for completing my training, I have developed a project for the article management system.