Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11663)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ICIAR: International Conference on Image Analysis and Recognition
Conference proceedings info: ICIAR 2019.
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Table of contents (42 papers)
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Front Matter
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Deep Learning on the Edge
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Front Matter
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Recognition
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Front Matter
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About this book
This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019.
The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.Keywords
- artificial intelligence
- classification
- computer vision
- data mining
- estimation
- face recognition
- image classification
- image coding
- image processing
- image reconstruction
- image segmentation
- imaging systems
- internet
- medical imaging
- neural networks
- object recognition
- pattern recognition
- signal processing
- Support Vector Machines (SVM)
- ultrasonic imaging
Editors and Affiliations
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University of Waterloo, Waterloo, Canada
Fakhri Karray, Alfred Yu
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University of Porto, Porto, Portugal
Aurélio Campilho
Bibliographic Information
Book Title: Image Analysis and Recognition
Book Subtitle: 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27–29, 2019, Proceedings, Part II
Editors: Fakhri Karray, Aurélio Campilho, Alfred Yu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-27272-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-27271-5Published: 03 August 2019
eBook ISBN: 978-3-030-27272-2Published: 12 August 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 487
Number of Illustrations: 42 b/w illustrations, 169 illustrations in colour
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Information Systems and Communication Service, Health Informatics