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ORCIDSmart Computer Vision, 2023
- B. Vinoth Kumar, P. Sivakumar, B. Surendiran, Junhua Ding:
Smart Computer Vision. EAI/Springer Innovations in Communication and Computing (EAISICC), Springer 2023, ISBN 978-3-031-20540-8 - Vani Vasudevan
, Mohan Sellappa Gounder:
A Systematic Review on Machine Learning-Based Sports Video Summarization Techniques. 1-34 - Thangaraj Veerakumar, Badri Narayan Subudhi, K. Sandeep Kumar, Nikhil O. F. Da Rocha, Sankaralingam Esakkirajan:
Shot Boundary Detection from Lecture Video Sequences Using Histogram of Oriented Gradients and Radiometric Correlation. 35-59 - U. Akshaya Devi, N. Arulanand:
Detection of Road Potholes Using Computer Vision and Machine Learning Approaches to Assist the Visually Challenged. 61-79 - E. Fantin Irudaya Raj, M. Balaji:
Shape Feature Extraction Techniques for Computer Vision Applications. 81-102 - Raju Anand, T. Shanthi, R. S. Sabeenian, S. Veni:
GLCM Feature-Based Texture Image Classification Using Machine Learning Algorithms. 103-125 - M. Chanchal, B. Vinoth Kumar:
Progress in Multimodal Affective Computing: From Machine Learning to Deep Learning. 127-150 - R. T. Akash Guna, O. K. Sikha:
Content-Based Image Retrieval Using Deep Features and Hamming Distance. 151-179 - P. Manju Bala, S. Usharani, Rajendirane Rajmohan, Tamilarasan Ananth Kumar, A. Balachandar:
Bioinspired CNN Approach for Diagnosing COVID-19 Using Images of Chest X-Ray. 181-201 - Shamika Ganesan, Raju Anand, V. Sowmya, K. P. Soman:
Initial Stage Identification of COVID-19 Using Capsule Networks. 203-222 - Badri Narayan Subudhi, Thangaraj Veerakumar, Sai Rakshit Harathas, Rohan Prabhudesai, Venkatanareshbabu Kuppili, Vinit Jakhetiya:
Deep Learning in Autoencoder Framework and Shape Prior for Hand Gesture Recognition. 223-242 - J. Narasimhamurthy, Karthikeyan Vaiapury, Ramanathan Muthuganapathy, Balamuralidhar Purushothaman:
Hierarchical-Based Semantic Segmentation of 3D Point Cloud Using Deep Learning. 243-251 - A. Anitha, P. Shivakumara, Shreyansh Jain, Vidhi Agarwal:
Convolution Neural Network and Auto-encoder Hybrid Scheme for Automatic Colorization of Grayscale Images. 253-271 - Krishnendu C. S., V. Sowmya, K. P. Soman:
Deep Learning-Based Open Set Domain Hyperspectral Image Classification Using Dimension-Reduced Spectral Features. 273-293 - Niteesh Kumar, Rashad Ahmed, B. H. Venkatesh, M. Anand Kumar:
An Effective Diabetic Retinopathy Detection Using Hybrid Convolutional Neural Network Models. 295-305 - Anisha Radhakrishnan, G. Jeyakumar:
Modified Discrete Differential Evolution with Neighborhood Approach for Grayscale Image Enhancement. 307-330 - María Luisa Pérez-Delgado:
Swarm-Based Methods Applied to Computer Vision. 331-356
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