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Proceedings of the satellite worksho...

Mudenagudi, Uma.

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Proceedings of the satellite workshops of ICVGIP 2021

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the satellite workshops of ICVGIP 2021/ edited by Uma Mudenagudi ... [et al.].
其他題名:	ICVGIP 2021
其他作者:	Mudenagudi, Uma.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	vii, 264 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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 (1746-2020)
Contained By:	Springer Nature eBook
標題:	Computer vision - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-19-4136-8
ISBN:	9789811941368

Proceedings of the satellite workshops of ICVGIP 2021
Proceedings of the satellite workshops of ICVGIP 2021[electronic resource] /ICVGIP 2021edited by Uma Mudenagudi ... [et al.]. - Singapore :Springer Nature Singapore :2022. - vii, 264 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,v. 9241876-1119 ;. - Lecture notes in electrical engineering ;v. 924..

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 (1746-2020)

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.

ISBN: 9789811941368

Standard No.: 10.1007/978-981-19-4136-8doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

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