Proceedings of the satellite workshops of ICVGIP 2021 / Uma Mudenagudi, Aditya Nigam, Ravi Kiran Sarvadevabhatla, Ayesha Choudhary, editors.

Format:

Book

Conference/Event

Contributor:

Mudenagudi, Uma, editor.

Nigam, Aditya, editor.

Sarvadevabhatla, Ravi Kiran, editor.

Choudhary, Ayesha, editor.

Conference Name:

Indian Conference on Computer Vision, Graphics & Image Processing (12th : 2021)

Series:

Lecture notes in electrical engineering ; v. 924.

Lecture notes in electrical engineering ; volume 924

Language:

English

Subjects (All):

Computer vision--Congresses.

Computer vision.

Computer graphics--Congresses.

Computer graphics.

Image processing--Congresses.

Image processing.

Genre:

Conference papers and proceedings.

Electronic books.

Physical Description:

1 online resource (vii, 264 pages) : illustrations (chiefly color).

Other Title:

ICVGIP 2021

Place of Publication:

Singapore : Springer, [2022]

Summary:

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.

Contents:

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).

Notes:

Print version record.

Other Format:

Print version: PROCEEDINGS OF THE SATELLITE WORKSHOPS OF ICVGIP 2021.

ISBN:

9789811941368

981194136X

OCLC:

1353297097

Access Restriction:

Restricted for use by site license.