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Image Analysis and Recognition : 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27-29, 2019, Proceedings, Part II / edited by Fakhri Karray, Aurélio Campilho, Alfred Yu.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11663
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11663
- Language:
- English
- Subjects (All):
- Computer vision.
- Pattern recognition systems.
- Artificial intelligence.
- Computer networks.
- Medical informatics.
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Communication Networks.
- Health Informatics.
- Local Subjects:
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Communication Networks.
- Health Informatics.
- Physical Description:
- 1 online resource (XXII, 487 pages) : 211 illustrations, 169 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-27272-2
- 9783030272722
- Access Restriction:
- Restricted for use by site license.
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