Computer Analysis of Images and Patterns CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings /

This book constitutes the refereed proceedings of two workshops held at the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and the First Works...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Vento, Mario (Editor, http://id.loc.gov/vocabulary/relators/edt), Percannella, Gennaro (Editor, http://id.loc.gov/vocabulary/relators/edt), Colantonio, Sara (Editor, http://id.loc.gov/vocabulary/relators/edt), Giorgi, Daniela (Editor, http://id.loc.gov/vocabulary/relators/edt), Matuszewski, Bogdan J. (Editor, http://id.loc.gov/vocabulary/relators/edt), Kerdegari, Hamideh (Editor, http://id.loc.gov/vocabulary/relators/edt), Razaak, Manzoor (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Communications in Computer and Information Science, 1089
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:This book constitutes the refereed proceedings of two workshops held at the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019. The 12 papers presented in this volume were carefully reviewed and selected from 16 submissions and focus on all aspects of visual computing and machine learning for biomedical applications, and deep-learning based computer vision for UAV.
Physical Description:XIV, 129 p. 60 illus., 48 illus. in color. online resource.
ISBN:9783030299309
ISSN:1865-0929 ;
DOI:10.1007/978-3-030-29930-9