Título :	16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part III
Tipo de documento:	documento electrónico
Autores:	Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2021
Número de páginas:	XIX, 756 p. 318 ilustraciones, 274 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-86334-0
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Procesamiento de imágenes  Visión por computador  Aprendizaje automático  Ingeniería Informática  Red de computadoras  Procesamiento del lenguaje natural (Informática)  Ciencias sociales  Imágenes por computadora  visión  reconocimiento de patrones y gráficos  Ingeniería Informática y Redes  Procesamiento del lenguaje natural (PNL)  Computadoras y Educación  Aplicación informática en ciencias sociales y del comportamiento
Índice Dewey:	6
Resumen:	Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: extracción de semántica de documentos, reconocimiento de texto y símbolos, sistemas de análisis de documentos, automatización de oficinas, verificación de firmas, análisis forense y de procedencia de documentos, análisis de documentos con bolígrafo, interacción humana con documentos, síntesis de documentos y gráficos. reconocimiento.
Nota de contenido:	Extracting Document Semantics -- MiikeMineStamps: A Long-Tailed Dataset of Japanese Stamps via Active Learning -- Deep Learning for Document Layout Generation: A First Reproducible Quantitative Evaluation and a Baseline Model -- Text and Symbol Recognition -- MRD: A Memory Relation Decoder for Online Handwritten Mathematical Expression Recognition.-Full Page Handwriting Recognition via Image to Sequence Extraction -- SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition -- IHR-NomDB: The Old Degraded Vietnamese Handwritten Script Archive Database -- Sequence Learning Model for Syllables Recognition Arranged in Two Dimensions -- Transformer for Handwritten Text Recognition using Bidirectional Post-Decoding -- Zero-Shot Chinese Text Recognition via Matching Class Embedding -- Text-conditioned Character Segmentation for CTC-based Text Recognition.-Towards Fast, Accurate and Compact Online Handwritten Chinese Text Recognition -- HCADecoder: A Hybrid CTC-Attention Decoder for Chinese Text Recognition.-Meta-learning of Pooling Layers for Character Recognition -- Document Analysis Systems -- Text-line-up: Don't Worry about the Caret -- Multimodal Attention-based Learning for Imbalanced Corporate Documents Classification -- Light-weight Document Image Cleanup using Perceptual Loss -- Office Automation -- A New Semi-Automatic Annotation Model via Semantic Boundary Estimation for Scene Text Detection -- Searching from the Prediction of Visual and Language Model for Handwritten Chinese Text Recognition -- Towards an IMU-based Pen Online Handwriting Recognizer -- Signature Verification -- 2D vs 3D online writer identification: a comparative study -- A Handwritten Signature Segmentation Approach for Multi-resolution and Complex Documents Acquired by Multiple Sources -- Attention based Multiple Siamese Network for Offline Signature Verification -- Attention to Warp: Deep Metric Learning for Multivariate Time Series -- Document Forensics and Provenance Analysis -- Customizable Camera Verification for Media Forensic -- Density Parameters of Handwriting in Schizophrenia and Affective Disorders Assessed Using the Raygraf Computer Software -- Pen-based Document Analysis -- Language-Independent Bimodal System for Early Parkinson's Disease Detection.-TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text -- Segmentation and graph matching for online analysis of student arithmetic operations -- Applying End-to-end Trainable Approach on Stroke Extraction in Handwritten Math Expressions Images -- A Novel Sigma-Lognormal Parameter Extractor for Online Signatures -- Human Document Interaction -- Near-perfect Relation Extraction from Family Books -- Estimating Human Legibility in Historic Manuscript Images - A Baseline -- A Modular and Automated Annotation Platform for Handwritings: Evaluation on Under-resourced Languages -- Reducing the Human Effort in Text Line Segmentation for Historical Documents -- DSCNN: Dimension Separable Convolutional Neural Networks for character recognition based on inertial sensor signal -- Document Synthesis -- DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis -- Font Style that Fits an Image -- Font Generation Based on Image Context -- Bayesian Hyperparameter optimization of Deep Neural Network algorithms based on Ant Colony optimization -- End-to-End Approach for Recognition of Historical Digit Strings -- Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs -- Synthesizing Training Data for Handwritten Music Recognition -- Towards Book Cover Design via Layout Graphs -- Graphics Recognition -- Complete Optical Music Recognition via Agnostic Transcription and Machine Translation -- Improving Machine Understanding of Human Intent in Charts -- DeMatch: Towards Understanding the Panel of Chart Documents -- Sequential Next-Symbol Prediction for Optical Music Recognition -- Which Parts Determine the Impression of the Font? -- Impressions2Font: Generating Fonts by Specifying Impressions. .
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part III [documento electrónico] / Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XIX, 756 p. 318 ilustraciones, 274 ilustraciones en color.
ISBN : 978-3-030-86334-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Procesamiento de imágenes  Visión por computador  Aprendizaje automático  Ingeniería Informática  Red de computadoras  Procesamiento del lenguaje natural (Informática)  Ciencias sociales  Imágenes por computadora  visión  reconocimiento de patrones y gráficos  Ingeniería Informática y Redes  Procesamiento del lenguaje natural (PNL)  Computadoras y Educación  Aplicación informática en ciencias sociales y del comportamiento
Índice Dewey:	6
Resumen:	Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: extracción de semántica de documentos, reconocimiento de texto y símbolos, sistemas de análisis de documentos, automatización de oficinas, verificación de firmas, análisis forense y de procedencia de documentos, análisis de documentos con bolígrafo, interacción humana con documentos, síntesis de documentos y gráficos. reconocimiento.
Nota de contenido:	Extracting Document Semantics -- MiikeMineStamps: A Long-Tailed Dataset of Japanese Stamps via Active Learning -- Deep Learning for Document Layout Generation: A First Reproducible Quantitative Evaluation and a Baseline Model -- Text and Symbol Recognition -- MRD: A Memory Relation Decoder for Online Handwritten Mathematical Expression Recognition.-Full Page Handwriting Recognition via Image to Sequence Extraction -- SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition -- IHR-NomDB: The Old Degraded Vietnamese Handwritten Script Archive Database -- Sequence Learning Model for Syllables Recognition Arranged in Two Dimensions -- Transformer for Handwritten Text Recognition using Bidirectional Post-Decoding -- Zero-Shot Chinese Text Recognition via Matching Class Embedding -- Text-conditioned Character Segmentation for CTC-based Text Recognition.-Towards Fast, Accurate and Compact Online Handwritten Chinese Text Recognition -- HCADecoder: A Hybrid CTC-Attention Decoder for Chinese Text Recognition.-Meta-learning of Pooling Layers for Character Recognition -- Document Analysis Systems -- Text-line-up: Don't Worry about the Caret -- Multimodal Attention-based Learning for Imbalanced Corporate Documents Classification -- Light-weight Document Image Cleanup using Perceptual Loss -- Office Automation -- A New Semi-Automatic Annotation Model via Semantic Boundary Estimation for Scene Text Detection -- Searching from the Prediction of Visual and Language Model for Handwritten Chinese Text Recognition -- Towards an IMU-based Pen Online Handwriting Recognizer -- Signature Verification -- 2D vs 3D online writer identification: a comparative study -- A Handwritten Signature Segmentation Approach for Multi-resolution and Complex Documents Acquired by Multiple Sources -- Attention based Multiple Siamese Network for Offline Signature Verification -- Attention to Warp: Deep Metric Learning for Multivariate Time Series -- Document Forensics and Provenance Analysis -- Customizable Camera Verification for Media Forensic -- Density Parameters of Handwriting in Schizophrenia and Affective Disorders Assessed Using the Raygraf Computer Software -- Pen-based Document Analysis -- Language-Independent Bimodal System for Early Parkinson's Disease Detection.-TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text -- Segmentation and graph matching for online analysis of student arithmetic operations -- Applying End-to-end Trainable Approach on Stroke Extraction in Handwritten Math Expressions Images -- A Novel Sigma-Lognormal Parameter Extractor for Online Signatures -- Human Document Interaction -- Near-perfect Relation Extraction from Family Books -- Estimating Human Legibility in Historic Manuscript Images - A Baseline -- A Modular and Automated Annotation Platform for Handwritings: Evaluation on Under-resourced Languages -- Reducing the Human Effort in Text Line Segmentation for Historical Documents -- DSCNN: Dimension Separable Convolutional Neural Networks for character recognition based on inertial sensor signal -- Document Synthesis -- DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis -- Font Style that Fits an Image -- Font Generation Based on Image Context -- Bayesian Hyperparameter optimization of Deep Neural Network algorithms based on Ant Colony optimization -- End-to-End Approach for Recognition of Historical Digit Strings -- Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs -- Synthesizing Training Data for Handwritten Music Recognition -- Towards Book Cover Design via Layout Graphs -- Graphics Recognition -- Complete Optical Music Recognition via Agnostic Transcription and Machine Translation -- Improving Machine Understanding of Human Intent in Charts -- DeMatch: Towards Understanding the Panel of Chart Documents -- Sequential Next-Symbol Prediction for Optical Music Recognition -- Which Parts Determine the Impression of the Font? -- Impressions2Font: Generating Fonts by Specifying Impressions. .
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i