Document Analysis and Recognition – ICDAR 2021 (Record no. 175832)

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001 - CONTROL NUMBER
control field 978-3-030-86549-8
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125238.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030865498
-- 978-3-030-86549-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-86549-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1501-1820
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYT
Source bicssc
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Subject category code COM016000
Source bisacsh
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Subject category code UYT
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006
Edition number 23
245 10 - TITLE STATEMENT
Title Document Analysis and Recognition – ICDAR 2021
Medium [electronic resource] :
Remainder of title 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I /
Statement of responsibility, etc edited by Josep Lladós, Daniel Lopresti, Seiichi Uchida.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
300 ## - PHYSICAL DESCRIPTION
Extent XIX, 650 p. 223 illus., 198 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume number/sequential designation 12821
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Historical Document Analysis 1 -- BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation -- Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents -- Versailles-FP dataset: Wall Detection in Ancient Floor Plans -- Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting -- Context Aware Generation of Cuneiform Signs -- Adaptive Scaling for Archival Table Structure Recognition -- Document Analysis Systems -- LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment -- VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations -- Layout-Parser: A Unified Toolkit for Deep Learning Based Document Image Analysis -- Understanding and Mitigating the Impact of Model Compression for Document Image Classification -- Hierarchical and Multimodal Classification of Images from Soil Remediation Reports -- Competition and Collaboration in Document Analysis and Recognition -- Handwriting Recognition -- 2D Self-Attention Convolutional Recurrent Network for Offline Handwritten Text Recognition -- Handwritten Text Recognition with Convolutional Prototype Network and Most Aligned Frame Based CTC Training -- Online Spatio-Temporal 3D Convolutional Neural Network for Early Recognition of Handwritten Gestures -- Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution -- Radical Composition Network for Chinese Character Generation -- SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators -- Scene Text Detection and Recognition -- Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition -- Text Detection by Jointly Learning Character and Word Regions -- Vision Transformer for Fast and Efficient Scene Text Recognition -- Look, Read and Ask: Learning to Ask Questions by Reading Text in Images -- CATNet: Scene Text Recognition Guided by Concatenating Augmented Text Features -- Explore Hierarchical Relations Reasoning and Global Information Aggregation -- Historical Document Analysis 2 -- One-Model Ensemble-Learning for Text Recognition of Historical Printings -- On the use of attention in deep learning based denoising method for ancient Cham inscription images -- Visual FUDGE: Form Understanding via Dynamic Graph Editing -- Annotation-Free Character Detection in Historical Vietnamese Stele Images -- Document Image Processing -- DocReader: Bounding-Box Free Training of a Document Information Extraction Model -- Document Dewarping with Control Points -- Unknown-box Approximation to Improve Optical Character Recognition Performance -- Document Domain Randomization for Deep Learning Document Layout Extraction -- NLP for Document Understanding -- Distilling the Documents for Relation Extraction by Topic Segmentation -- LAMBERT: Layout-Aware Language Modeling for Information Extraction -- ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents -- Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts -- Graphics, Diagram, and Math Recognition -- Towards an efficient framework for Data Extraction from Chart Images -- Geometric Object 3D Reconstruction From Single Line Drawings Image Based on a Network for Classification and Sketch Extraction -- DiagramNet: Hand-drawn Diagram Recognition using Visual Arrow-relation Detection -- Formula Citation Graph Based Mathematical Information Retrieval.
520 ## - SUMMARY, ETC.
Summary, etc This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports. The papers are organized into the following topical sections: historical document analysis, document analysis systems, handwriting recognition, scene text detection and recognition, document image processing, natural language processing (NLP) for document understanding, and graphics, diagram and math recognition.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image processing
General subdivision Digital techniques.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Natural language processing (Computer science).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Education
General subdivision Data processing.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Engineering and Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Natural Language Processing (NLP).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Application in Social and Behavioral Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers and Education.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lladós, Josep.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lopresti, Daniel.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Uchida, Seiichi.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030865481
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030865504
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Image Processing, Computer Vision, Pattern Recognition, and Graphics,
-- 3004-9954 ;
Volume number/sequential designation 12821
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-86549-8">https://doi.org/10.1007/978-3-030-86549-8</a>
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Koha item type eBooks-CSE-Springer

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