Overview
- Presents select proceedings of the satellite workshops of the 12th ICVGIP 2021
- Discusses recent findings in document analysis and recognition
- Shares innovative ideas, experience, and expertise in computer vision applications
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 924)
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Keywords
Table of contents (17 papers)
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Workshop on Digital Heritage (WDH)
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Medical Image Processing (MedImage)
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Document Analysis and Recognition (DAR)
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Workshop on Computer Vision Applications (WCVA)
Editors and Affiliations
About the editors
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, and video analysis. She has got over 70 projects to her credit.
Aditya Nigam received his Master and Doctoral degrees from the Indian Institute of Technology Kanpur in 2009 and 2014, respectively. Presently, he is an Assistant Professor at IIT Mandi in the School of Computing and Electrical Engineering (SCEE). His research areas are biometrics, image processing, computer vision, and machine learning. He has several papers published to his credit.
Ayesha Choudhary is an Assistant Professor at the School of Computer & Systems Sciences at Jawaharlal Nehru University, India. She completed her Ph.D. from the Department of Computer Science and Engineering at the Indian Institute of Technology, Delhi (IIT Delhi). Her areas of research are computer vision and machine learning and their applications in Intelligent Transportation Systems, Assisted Living and Smart Agriculture. She has publications in various international journals and conferences to her credit.
Bibliographic Information
Book Title: Proceedings of the Satellite Workshops of ICVGIP 2021
Editors: Uma Mudenagudi, Aditya Nigam, Ravi Kiran Sarvadevabhatla, Ayesha Choudhary
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-19-4136-8
Publisher: Springer Singapore
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-19-4135-1Published: 28 November 2022
Softcover ISBN: 978-981-19-4138-2Published: 28 November 2023
eBook ISBN: 978-981-19-4136-8Published: 26 November 2022
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: VII, 264
Number of Illustrations: 20 b/w illustrations, 93 illustrations in colour
Topics: Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Structures and Information Theory, Artificial Intelligence