Image and Video Technology : 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18-22, 2019, Proceedings / edited by Chilwoo Lee, Zhixun Su, Akihiro Sugimoto.

Format:

Book

Contributor:

Lee, Chilwoo, editor.

Su, Zhixun, editor.

Sugimoto, Akihiro, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11854.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11854

Language:

English

Subjects (All):

Multimedia systems.

Optical data processing.

Artificial intelligence.

Computer organization.

Education--Data processing.

Education.

Multimedia Information Systems.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer Systems Organization and Communication Networks.

Computers and Education.

Local Subjects:

Multimedia Information Systems.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer Systems Organization and Communication Networks.

Computers and Education.

Physical Description:

1 online resource (XIII, 418 pages) : 203 illustrations, 156 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the conference proceedings of the 9th Pacific Rim Symposium on Image and Video Technology, PSIVT 2019, held in Sydney, NSW, Australia, in November 2019. A total of 31 papers were carefully reviewed and selected from 55 submissions. The main conference comprises 11 major subject areas that span the field of image and video technology, namely imaging and graphics hardware and visualization, image/video coding and transmission, image/video processing and analysis, image/video retrieval and scene understanding, applications of image and video technology, biomedical image processing and analysis, biometrics and image forensics, computational photography and arts, computer and robot vision, pattern recognition, and video surveillance.

Contents:

A Fused Pattern Recognition Model to Detect Glaucoma Using Retinal Nerve Fiber Layer Thickness Measurements

A Robust Face Recognition System for One Sample Problem

Analysis of Motion Patterns in Video Streams for Automatic Health Monitoring in Koi Ponds

Attention-Guided Model for Robust Face Detection System

BackNet: An Enhanced Backbone Network for Accurate Detection of Objects with Large Scale Variations

Body detection in spectator crowd images using partial heads

Deep Learning for Breast Region and Pectoral Muscle Segmentation in Digital Mammography

Detection of Age and Defect of Grapevine Leaves Using Hyper Spectral Imaging

Discrete Cosine Basis Oriented Homogeneous Motion Discovery for 360-degree Video Coding

Double-channel 3D Convolutional Neural Network for Exam Scene Classification of Invigilation Video

Efficient Self-Embedding Data Hiding for Image Integrity Verification with Pixel-Wise Recovery Capability

Enhanced Transfer Learning with ImageNet Trained Classification Layer

Equine Welfare Assessment: Horse Motion Evaluation and Comparison to Manual Pain Measurements

Exposure Correction and Local Enhancement for Backlit Image Restoration

Grapevine Nutritional Disorder Detection Using Image Processing

Hierarchical Colour Image Segmentation by Leveraging RGB Channels Independently

High-Resolution Realistic Image Synthesis from Text Using Iterative Generative Adversarial Network

Human shape reconstruction with loose clothes from partially observed data by pose specific deformation

Improved Saliency-enhanced Multi-cue Correlation-filter-based Visual Tracking

Measuring Apple Size Distribution From a Near Top-down Image

Multi-Temporal Registration of Environmental Imagery using Affine Invariant Convolutional Features

Multimodal 3D Facade Reconstruction Using 3D LiDAR and Images

Multiview dimension reduction based on Sparsity Preserving Projections

Non-Peaked Discriminant Analysis for Image Representation

Prostate Cancer Classification based on Best First Search and Taguchi Feature Selection Method

Real-Time Retinal Vessel Segmentation on High-Resolution Fundus Images Using Laplacian Pyramids

RVNet: Deep Sensor Fusion of Monocular Camera and Radar for Real-Time Obstacle Detection in Challenging Environments

Semantic Segmentation of Grey-scale Traffic Scenes

Shoeprint Extraction via GAN

Turnstile jumping detection in real-time video surveillance

Unsupervised Deep Features for Privacy Image Classification.

Other Format:

Printed edition:

ISBN:

978-3-030-34879-3

9783030348793

Access Restriction:

Restricted for use by site license.