國立虎尾科技大學 |

Image and Video Technology = 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Image and Video Technology/ edited by Chilwoo Lee, Zhixun Su, Akihiro Sugimoto.
Reminder of title:	9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings /
other author:	Lee, Chilwoo.
Description:	XIII, 418 p. 203 illus., 156 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Multimedia information systems. -
Online resource:	https://doi.org/10.1007/978-3-030-34879-3
ISBN:	9783030348793

Image and Video Technology = 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings /
Image and Video Technology9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings /[electronic resource] :edited by Chilwoo Lee, Zhixun Su, Akihiro Sugimoto. - 1st ed. 2019. - XIII, 418 p. 203 illus., 156 illus. in color.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11854. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

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.

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.

ISBN: 9783030348793

Standard No.: 10.1007/978-3-030-34879-3doiSubjects--Topical Terms:

1115395
Multimedia information systems.

LC Class. No.: QA76.575

Dewey Class. No.: 006.7

Image and Video Technology = 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings /
LDR:04830nam a22004095i 4500 001 1012661
003 DE-He213
005 20200703222055.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030348793 $9 978-3-030-34879-3
024 7 $a 10.1007/978-3-030-34879-3 $2 doi
035 $a 978-3-030-34879-3
050 4 $a QA76.575
072 7 $a UG $2 bicssc
072 7 $a COM034000 $2 bisacsh
072 7 $a UG $2 thema
082 0 4 $a 006.7 $2 23
245 1 0 $a Image and Video Technology $h [electronic resource] : $b 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings / $c edited by Chilwoo Lee, Zhixun Su, Akihiro Sugimoto.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XIII, 418 p. 203 illus., 156 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 11854
505 0 $a 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.
520 $a 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.
650 0 $a Multimedia information systems. $3 1115395
650 0 $a Optical data processing. $3 639187
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computer organization. $3 596298
650 0 $a Education—Data processing. $3 1253610
650 1 4 $a Multimedia Information Systems. $3 669810
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Systems Organization and Communication Networks. $3 669309
650 2 4 $a Computers and Education. $3 669806
700 1 $a Lee, Chilwoo. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1306923
700 1 $a Su, Zhixun. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1070309
700 1 $a Sugimoto, Akihiro. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 784625
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030348786
776 0 8 $i Printed edition: $z 9783030348809
830 0 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 9219 $3 1253644
856 4 0 $u https://doi.org/10.1007/978-3-030-34879-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)