Proceedings of the Satellite Workshops of ICVGIP 2021 [Hardcover]

This book constitutes peer-reviewed proceedings of satellite workshops of the 12th Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP 2021). The book focuses on medical image processing, digital heritage, document analysis and recognition, and computer vision applications. The first part includes submissions on digital archiving and restoration methods with interesting and innovative research components. The second part focuses on medical imaging modalities including MRI, X-ray, CT, imaging in nuclear medicine, medical ultrasound, optical and confocal microscopy, and video and range data images. The third part deals with document analysis and recognition and focuses on text recognition, document layout analysis, understanding, historical and degraded document analysis, datasets, performance evaluation, metrics, etc. The fourth part of this book includes research work from academia and industry across the globe on smart, innovative, and practical applications of computer vision for industrial and societal impact. This book shares innovative ideas, experience and expertise, and ongoing research ideas and will be helpful for researchers and practitioners in academia and industry.Systematic Approach to Tuning a Deep CNN Classifying Bharatanatyam Mudras.- Comparative Analysis of Neural Architecture Search Methods for Classification of Cultural Heritage Sites.- Heritage Representation of Kashi Vishweshwar Temple at Kalabgoor, Telangana with Augmented Reality Application Using Photogrammetry.- Augmented Data as an Auxiliary Plug-In Toward Categorization of Crowdsourced Heritage Data.- Evolution of Bagbazar Street Through Visibility Graph Analysis (17462020).

Uma Mudenagudi is Dean, R&D, and Professor of ECE department at KLE Technological University Hubballi. She completed her Ph.D. from the Department of Computer Science, IIT Delhi, and M.Tech. degree from IIT Bombay. Her research areas are computer vision, computer graphics, image, lÃ0