05343nam 22007815 450 991037392740332120200701053601.03-030-39770-X10.1007/978-3-030-39770-8(CKB)4100000010121604(DE-He213)978-3-030-39770-8(MiAaPQ)EBC6114585(PPN)242845134(EXLCZ)99410000001012160420200126d2020 u| 0engur|n#||||||||txtrdacontentstirdacontentcrdamediacrrdacarrierImage 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 Paul1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XII, 206 pages 106 illustrations., 90 illustrations in colour)Image Processing, Computer Vision, Pattern Recognition, and Graphics ;119949783030397692 3-030-39769-6 Includes bibliographical references and index.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.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.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11994Optical data processingComputer communication systemsArtificial intelligenceComputersPattern recognitionApplication softwareImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XComputer Applicationshttps://scigraph.springernature.com/ontologies/product-market-codes/I23001Optical data processing.Computer communication systems.Artificial intelligence.Computers.Pattern recognition.Application software.Image Processing and Computer Vision.Computer Communication Networks.Artificial Intelligence.Information Systems and Communication Service.Pattern Recognition.Computer Applications.621.367006.6Dabrowski Joel Janekedthttp://id.loc.gov/vocabulary/relators/edtRahman Ashfaquredthttp://id.loc.gov/vocabulary/relators/edtPaul Manoranjanedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910373927403321Image and Video Technology2106232UNINA