|
|
|
|
| LEADER |
05012nam a22006375i 4500 |
| 001 |
978-3-030-39770-8 |
| 003 |
DE-He213 |
| 005 |
20210624233926.0 |
| 007 |
cr nn 008mamaa |
| 008 |
200126s2020 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783030397708
|9 978-3-030-39770-8
|
| 024 |
7 |
|
|a 10.1007/978-3-030-39770-8
|2 doi
|
| 050 |
|
4 |
|a TA1630-1650
|
| 072 |
|
7 |
|a UYT
|2 bicssc
|
| 072 |
|
7 |
|a COM012000
|2 bisacsh
|
| 072 |
|
7 |
|a UYT
|2 thema
|
| 072 |
|
7 |
|a UYQV
|2 thema
|
| 082 |
0 |
4 |
|a 006.6
|2 23
|
| 082 |
0 |
4 |
|a 006.37
|2 23
|
| 245 |
1 |
0 |
|a Image and Video Technology
|h [electronic resource] :
|b PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers /
|c edited by Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul.
|
| 250 |
|
|
|a 1st ed. 2020.
|
| 264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2020.
|
| 300 |
|
|
|a XII, 207 p. 106 illus., 90 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 11994
|
| 505 |
0 |
|
|a 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.
|
| 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.
|
| 650 |
|
0 |
|a Optical data processing.
|
| 650 |
|
0 |
|a Computer communication systems.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Computers.
|
| 650 |
|
0 |
|a Pattern recognition.
|
| 650 |
|
0 |
|a Application software.
|
| 650 |
1 |
4 |
|a Image Processing and Computer Vision.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I22021
|
| 650 |
2 |
4 |
|a Computer Communication Networks.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I13022
|
| 650 |
2 |
4 |
|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
|
| 650 |
2 |
4 |
|a Information Systems and Communication Service.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18008
|
| 650 |
2 |
4 |
|a Pattern Recognition.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
|
| 650 |
2 |
4 |
|a Computer Applications.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I23001
|
| 700 |
1 |
|
|a Dabrowski, Joel Janek.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Rahman, Ashfaqur.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Paul, Manoranjan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer Nature eBook
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783030397692
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783030397715
|
| 830 |
|
0 |
|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 11994
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-39770-8
|
| 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)
|
