Image and Video Technology : PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019, Revised Selected Papers / edited by Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul.

Format:

Book

Contributor:

Dabrowski, Joel Janek, editor.

Rahman, Ashfaqur, editor.

Paul, Manoranjan, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11994.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11994

Language:

English

Subjects (All):

Optical data processing.

Computer networks.

Artificial intelligence.

Computers.

Pattern perception.

Application software.

Image Processing and Computer Vision.

Computer Communication Networks.

Artificial Intelligence.

Information Systems and Communication Service.

Pattern Recognition.

Computer Applications.

Local Subjects:

Image Processing and Computer Vision.

Computer Communication Networks.

Artificial Intelligence.

Information Systems and Communication Service.

Pattern Recognition.

Computer Applications.

Physical Description:

1 online resource (XII, 207 pages) : 106 illustrations, 90 illustrations in color.

Edition:

First edition 2020.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-39770-8

9783030397708

Access Restriction:

Restricted for use by site license.