ShaminiKoravuna

-Implementation-of-a-Visible-and-Invisible-Video-Watermarking-Technique

Although tremendous progress has been made in the past years on video watermarking, there still exist a number of problems. We believe that the most important one is related to the compression rates, robustness against attacks and high security for privacy data. In digital image processing domain “achieving better compression rates in dual digital watermarking” is still area of concern. The proposed work shows the embedding of visible and invisible watermark during compression on the video encoder and the respective embedding approach on the video is termed as optimized compression/watermarking algorithm and system. The performance of the video watermarking is better when the complexity is low and this low complexity is achieved in our proposed work by discrete cosine transform (DCT). Finally, the results show the high correlation against different attacks in the extraction section. The proposed algorithm is more successful in order to overcome, the conventional algorithm drawbacks and more suitable to applied in the real time applications.

3D-HumanPoseEstimation

Advanced_Computer_Vision

Classification_of_Car_Brand

Computer_Vision_Projects

Dog-Breed-Classifier

Machine Learning Engineer Nanodegree Udacity Capstone Project. This project shows how to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, the algorithm identifies an estimate of the canine’s breed. If supplied an image of a human, the resembling dog breed is shown.

DriversDrowsinessDetection

Fake_News_Classifier

GeneratingImageCaptions-DL

HumanDetectionAndCounting

ShaminiKoravuna/HumanDetectionAndCounting

ShaminiKoravuna/-Implementation-of-a-Visible-and-Invisible-Video-Watermarking-Technique

Although tremendous progress has been made in the past years on video watermarking, there still exist a number of problems. We believe that the most important one is related to the compression rates, robustness against attacks and high security for privacy data. In digital image processing domain “achieving better compression rates in dual digital watermarking” is still area of concern. The proposed work shows the embedding of visible and invisible watermark during compression on the video encoder and the respective embedding approach on the video is termed as optimized compression/watermarking algorithm and system. The performance of the video watermarking is better when the complexity is low and this low complexity is achieved in our proposed work by discrete cosine transform (DCT). Finally, the results show the high correlation against different attacks in the extraction section. The proposed algorithm is more successful in order to overcome, the conventional algorithm drawbacks and more suitable to applied in the real time applications.

ShaminiKoravuna/3D-HumanPoseEstimation

ShaminiKoravuna/Advanced_Computer_Vision

ShaminiKoravuna/Classification_of_Car_Brand

ShaminiKoravuna/Computer_Vision_Projects

ShaminiKoravuna/Dog-Breed-Classifier

Machine Learning Engineer Nanodegree Udacity Capstone Project. This project shows how to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, the algorithm identifies an estimate of the canine’s breed. If supplied an image of a human, the resembling dog breed is shown.

ShaminiKoravuna/DriversDrowsinessDetection

ShaminiKoravuna/Fake_News_Classifier

ShaminiKoravuna/GeneratingImageCaptions-DL

ShaminiKoravuna/German_Traffic_Signs_Recognition

ShaminiKoravuna/github-readme-stats

:zap: Dynamically generated stats for your github readmes

ShaminiKoravuna/ImageSegmentationUsingMachineLearning

ShaminiKoravuna/Plagiarism_Detector

Used advanced machine learning skills to define similarity metrics between two text documents and identified cases of plagiarism. Performed feature engineering and trained and deployed a custom, plagiarism-classification model using Amazon SageMaker. Implemented this project as a part of the Udacity Machine Learning Engineer Nanodegree Program.

ShaminiKoravuna/prusa-i3-3d-printer

ShaminiKoravuna/python_projects

Real world applications of python

ShaminiKoravuna/Sentiment_Analysis_Deployment

Built and deployed a deep learning model that predicts the sentiment of a user-provided movie review using Amazon SageMaker. In addition, created a simple web app that uses the deployed model and accepts user input.

ShaminiKoravuna/ShaminiKoravuna

ShaminiKoravuna/ShaminiKoravuna.github.io

ShaminiKoravuna/Smart-Remote-for-the-Setup-Box-Using-Gesture-Control

link for IEEE paper (https://www.ijera.com/papers/Vol6_issue4/Part%20-%203/D060403018025.pdf

ShaminiKoravuna/cosyne-tutorial-2022

Cosyne workshop tutorial 2022

ShaminiKoravuna/Learning-about-FPGA-DESIGN-

This repository contains some introductory level review about learning about FPGA Design including some tutorials, links to websites and some blogs related to learning about FPGA & RTL Design

ShaminiKoravuna/PathPlanning

Common used path planning algorithms with animations.

ShaminiKoravuna/ros_snn

ros_snn is a spiking neural network package for ROS