Image and Video Technology
PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the thoroughly refereed post-conference proceedings of four international workshops held in the framework of the 9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019, in Sydney, NSW, Australia, in November 2019:...
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This book constitutes the thoroughly refereed post-conference proceedings of four international workshops held in the framework of the 9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019, in Sydney, NSW, Australia, in November 2019: Vision-Tech: Workshop on Challenges, Technology, and Solutions in the Areas of Computer Vision; Workshop on Passive and Active Electro-Optical Sensors for Aerial and Space Imaging; Workshop on Deep Learning and Image Processing Techniques for Medical Images; and Workshop on Deep Learning for Video and Image Analysis.The 16 revised full papers presented were carefully selected from 26 submissions. The papers cover the full range of state-of-the-art research in image and video technology with topics ranging from well-established areas to novel current trends.
Inhaltsverzeichnis zu „Image and Video Technology “
Rain Streak Removal with Well-Recovered Moving Objects From Video Sequences Using Photometric Correlation.- Face Analysis: State of the Art and Ethical Challenges.- Location Analysis Based Waiting Time Optimization.- In-Orbit Geometric Calibration of Firebird's Infrared Line Cameras.- Evaluation of Structures and Methods for Resolution Determination of Remote Sensing Sensors.- 3D Image Reconstruction from Multi-focus Microscopic Images.- Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity.- GAN-based Method for Synthesizing Multi-Focus Cell Images.- Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function.- Face-based Age and Gender Classification using Deep Learning Model.- SO-Net: Joint Semantic Segmentation and Obstacle Detection using Deep Fusion of Monocular Camera and Radar.- Deep Forest Approach for Facial Expression Recognition.- Weed Density Estimation Using Semantic Segmentation.- Detecting Global Exam Events in Invigilation Videos using 3D CNN.- Spatial Hierarchical Analysis Deep Neural Network for RGBD Object Recognition.- Reading Digital Video Clocks by Two Phases of Connected Deep Networks.Bibliographische Angaben
- 2020, 1st ed. 2020, XII, 207 Seiten, 90 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
- Verlag: Springer, Berlin
- ISBN-10: 3030397696
- ISBN-13: 9783030397692
Sprache:
Englisch
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