Image and Video Technology

PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers

AvJoel Janek Dabrowski,Ashfaqur Rahman

Häftad, Engelska, 2020

Del 11994 i serien Lecture Notes in Computer Science

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Beskrivning

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;

Produktinformation

Utgivningsdatum:2020-01-27
Mått:155 x 235 x 13 mm
Vikt:341 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:207
Förlag:Springer Nature Switzerland AG
ISBN:9783030397692

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.