Smart Computer Vision

lt;p>B.Vinoth Kumar is working as an Associate Professor with 18 years of experience in the Department of Information Technology at PSG College of Technology. His current research interests include Computational Intelligence, Memetic algorithms, Affective computing and Image Processing. He is the author of more than 60 papers in refereed Journals and International conferences. He has edited six books with reputed publishers such as Springer and CRC Press. He serves as a Guest Editor/Reviewer of many journals with leading publishers such as Springer, Inderscience and De Gruyter.

Chapter 1:  A Systematic Review on Machine Learning based Sports Video Summarization Techniques.- Chapter 2: Shot Boundary Detection from Lecture Video Sequences using Histogram of Oriented Gradients and Radiometric Correlation.- Chapter 3: Detection of Road Potholes using Computer Vision and Machine Learning Approaches to Assist the Visually Challenged.- Chapter 4: Shape Feature Extraction Techniques for Computer Vision Applications.- Chapter 5: GLCM Feature Based Texture image classification using Machine learning algorithms.- Chapter 6: Progress in Multimodal Affective Computing: From Machine Learning to Deep Learning.- Chapter 7: Content based Image Retrieval using Deep features and Hamming Distance.- Chapter 8: Bio Inspired CNN approach for diagnosing COVID-19 using images of Chest X-ray.- Chapter 9: Initial Stage Identification of Covid-19 using Capsule Networks.- Chapter 10: Deep Learning in Auto Encoder Framework and Shape Prior for Hand Gesture Recognition.- Chapter 11: Hierarchical based Semantic segmentation of  3D point cloud  using deep learning.- Chapter 12: Convolution Neural Network and Auto-Encoder hybrid scheme for Automatic Colorization of Gray-Scale images.- Chapter 13: Deep learning based Open Set Domain Hyper spectral Image Classification using dimension reduced spectral features.- Chapter 14: An Effective Diabetic Retinopathy Detection using Hybrid Convolutional Neural Network Models.- Chapter 15: Modified Discrete Differential Evolution with Neighbourhood Approach for Grayscale Image Enhancement.- Chapter 16: Swarm-based methods applied to computer vision.