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Image and video technologyPSIVT 2019...

(1998 :)

Image and video technologyPSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Image and video technologyedited by Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul.
其他題名:	PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019 : revised selected papers /
其他題名:	PSIVT 2019
其他作者:	Dabrowski, Joel Janek.
團體作者:
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xii, 207 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer vision
電子資源:	https://doi.org/10.1007/978-3-030-39770-8
ISBN:	9783030397708$q(electronic bk.)

Image and video technologyPSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019 : revised selected papers /
Image and video technologyPSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019 : revised selected papers /[electronic resource] :PSIVT 2019edited by Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul. - Cham :Springer International Publishing :2020. - xii, 207 p. :ill., digital ;24 cm. - Lecture notes in computer science,119940302-9743 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9783030397708$q(electronic bk.)

Standard No.: 10.1007/978-3-030-39770-8doiSubjects--Topical Terms:

253837
Computer vision

LC Class. No.: TA1634 / .P75 2019

Dewey Class. No.: 006.37

Image and video technologyPSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019 : revised selected papers /
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520 $a 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.
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