Computational Intelligence in Image and Video Processing

1. OCR-based Text Information Extraction from Digital Image Documents

Md. Mijanur Rahman, Mahnuma Rahman Rinty

2. Extracting the Pixel Edges on Leaves to Detect its Type using Fuzzy Logic

Lakshmi JVN, Kamalraj R

3. Water Surface Waste Object Detection and Classification

Jayanand P. Gawande, Rakesh P. Borase, Sushant N. Pawar

4. A Novel Approach for Weakly Supervised Object Detection (WSOD) using Deep Learning Technique

Jyoti G. Wadmare, Sunita R. Patil

5. Image Inpainting using Deep Learning

Yogesh Dandawate, Tushar Jadhav, Paritosh Jitendra Marathe

6. Watermarking in frequency domain using Magic Transform

Narendrakumar R. Dasre, Pritam Gujarathi

7. An Efficient Light-weight LSB steganography with Deep learning Steganalysis

Dipnarayan Das, Asha Durafe, Vinod Patidar

8. Rectum Cancer MRI Image Segmentation

R. Srivaramangai

9. Detection of Tuberculosis in microscopy Images using Mask Region Convolutional Neural Network

Nasir Khan, Hazrat Ali, Muhammad Shakaib Iqbal, Muhammad Arfat Yameen, Christer Grönlund

10. Comparison of Deep learning methods for COVID-19 detection using Chest X-ray

Archana Chaudhari, Nikita Kotwal, Gauri Unnithan, Anaya Pawar

11. Video Segmentation and Compression

Nithya K, Mythili S, Krishnamoorthi M, Kalamani M

12. A Novel DST-SBPMRM based Compressed Video Steganography over Transform Coefficients of Motion Region

Rachna Patel, Mukesh Patel

13. Video Matting, Watermarking and Forensics

Dhivyaa C R, Anbukkarasi S

14. Time Efficient Video Captioning using GRU, Attention Mechanism and LSTM

Gurdeep Saini, Nagamma Patil

15. Nature Inspired Computing for Feature Selection and Classification

Rahul Chakre, Dipak V. Patil, M. U. Kharat

16. Optimized Modified K-Nearest Neighbor (OMKNN) Classifier for Pattern Recognition

Priyadarshan Dhabe , Affan Shaikh, Jayanti Runwal, Ashwini Patil, Sneha Shinde

17. Role of Multi-objective Optimization in Image Segmentation and Classification

          Ujwala Bharambe, Ujwala Bhangale, Chhaya Narvekar

Biography

Dr. Mukesh D Patil is the Principal of Ramrao Adik Institute of Technology, Navi Mumbai, India. He obtained his Master of Technology and a PhD from Systems and Control engineering, Indian Institute of Technology Bombay, Mumbai, India, in 2002 and 2013. His current research areas include robust control, fractional order control and signal processing. He has published over 45-refereed papers and several patents, most in the areas of fractional-order control and signal processing. He is a senior member of IEEE, Fellow of IETE and life member of ISTE. He has served on the program committees of various conferences/workshops and member of several prestigious professional bodies.

Dr. Gajanan K Birajdar obtained his M. Tech. (Electronics and Telecommunication Engineering) from Dr. Babasaheb Ambedkar Technological University, Maharashtra, India, in 2004 and Ph. D. in blind image forensics from Nagpur University, India, in 2018. He is working in the Department of Electronics Engineering, Ramrao Adik Institute of Technology Nerul, Navi Mumbai, University of Mumbai. He is a member of various professional bodies like ISTE, IETE, and IE(I). His current research interests are multimedia security and forensics.

Dr. Sangita S Chaudhari obtained her Master of Engineering (Computer Engineering) from Mumbai University, Maharashtra, India, in 2008 and Ph. D. in GIS and Remote Sensing from Indian Institute of Technology Bombay, Mumbai, India in 2016. Currently, she is working as professor in Department of Computer Engineering, Ramrao Adik Institute of Technology Nerul, Navi Mumbai. She has published several papers in the International/National Journals/Conferences and book chapters. She is an IEEE senior member and active member of IEEE GRSS and IEEE Women in Engineering. Her research interests include Image processing, Information security, Geographical Information Systems, and Remote sensing.