Autor Lladós, Josep
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Documentos disponibles escritos por este autor (4)
Hacer una sugerencia Refinar búsqueda16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I / Lladós, Josep ; Lopresti, Daniel ; Uchida, Seiichi
Título : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I 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, 650 p. 223 ilustraciones, 198 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86549-8 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 Ingeniería Informática Red de computadoras Aprendizaje automático 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) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación 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: análisis de documentos históricos, sistemas de análisis de documentos, reconocimiento de escritura a mano, detección y reconocimiento de textos de escenas, procesamiento de imágenes de documentos, procesamiento del lenguaje natural (NLP) para la comprensión de documentos y reconocimiento de gráficos, diagramas y matemáticas. Nota de contenido: Historical Document Analysis 1 -- BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation -- Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents -- Versailles-FP dataset: Wall Detection in Ancient Floor Plans -- Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting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. 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 I [documento electrónico] / Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 650 p. 223 ilustraciones, 198 ilustraciones en color.
ISBN : 978-3-030-86549-8
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 Ingeniería Informática Red de computadoras Aprendizaje automático 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) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación 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: análisis de documentos históricos, sistemas de análisis de documentos, reconocimiento de escritura a mano, detección y reconocimiento de textos de escenas, procesamiento de imágenes de documentos, procesamiento del lenguaje natural (NLP) para la comprensión de documentos y reconocimiento de gráficos, diagramas y matemáticas. Nota de contenido: 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. 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
Título : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II 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: XX, 873 p. 329 ilustraciones, 277 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86331-9 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 Ingeniería Informática Red de computadoras Aprendizaje automático 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: análisis de documentos para búsqueda bibliográfica, resumen y traducción de documentos, análisis de documentos multimedia, reconocimiento de texto móvil, análisis de documentos para el bien social, indexación y recuperación de documentos, análisis de diseño físico y lógico, reconocimiento de tablas. y fórmulas, y procesamiento del lenguaje natural (NLP) para la comprensión de documentos. Nota de contenido: Document Analysis for Literature Search -- Towards Document Panoptic Segmentation with Pinpoint Accuracy: Method and Evaluation -- A Math Formula Extraction and Evaluation Framework for PDF Documents -- Toward Automatic Interpretation of 3D Plots -- Document Summarization and Translation -- Can Text Summarization Enhance the Headline Stance Detection Task? Benefits and Drawbacks -- The Biased Coin Flip Process for Nonparametric Topic Modeling.-CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-Document Summarization -- RTNet: An End-to-End Method for Handwritten Text Image Translation -- NTable: A Dataset for Camera-based Table Detection -- Multimedia document analysis -- Label Selection Algorithm Based on Boolean Interpolative Decomposition with Sequential Backward Selection for Multi-label Classification -- GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers -- C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis -- LSTMVAEF: Vivid Layout via LSTM-based Variational Autoencoder Framework -- Mobile Text Recognition -- HCRNN: A Novel Architecture for Fast Online Handwritten Stroke Classification -- RFDoc: memory efficient local descriptors for ID documents localization and classification -- Dynamic Receptive Field Adaptation for Attention-Based Text Recognition -- Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition -- MIDV-LAIT: a challenging dataset for recognition of IDs with Perso-Arabic, Thai, and Indian scripts,. Determining optimal frame processing strategies for real-time document recognition systems -- Document Analysis for Social Good -- Embedded Attributes for Cuneiform Sign Spotting -- Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach -- Two-Step Fine-Tuned Convolutional Neural Networks for Multi-Label Classification of Children's Drawings -- DCINN: Deformable Convolution and Inception Based Neural Network for Tattoo Text Detection through Skin Region -- Sparse Document Analysis using Beta-Liouville Naive Bayes with Vocabulary Knowledge -- Automatic Signature-based Writer Identification in Mixed-script Scenarios -- Indexing and Retrieval of Documents -- Indexing and Retrieval of Documents -- Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting -- A-VLAD: An End-to-End Attention-based Neural Network for Writer Identification in Historical Documents -- Manga-MMTL: multimodal multitask transfer learning for manga character analysis -- Probabilistic Indexing and Search for Hyphenated Words -- Physical and Logical Layout Analysis -- SandSlide: Automatic Slideshow Normalization -- Digital Editions as Distant Supervision for Layout Analysis of Printed Books -- Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts -- Page Layout Analysis System for Unconstrained Historic Documents -- Improved Graph Methods for Table Layout Understanding -- Unsupervised learning of text line segmentation by differentiating coarse patterns -- Recognition of Tables and Formulas -- Rethinking Table Structure Recognition Using Sequence Labeling Methods -- TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables -- Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer -- TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition -- An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-Head Attention and Stacked Decoder -- Global Context for improving recognition of Online Handwritten Mathematical Expressions -- Image-based Relation Classification Approach for Table Structure Recognition -- Image to LaTeX with Graph Neural Network for Mathematical Formula Recognition -- NLP for Document Understanding -- A Novel Method for AutomatedSuggestion of Similar Software Incidents using 2-Stage Filtering: Findings on Primary Data -- Research on pseudo-label technology for multi-label news classification -- Information Extraction from Invoices -- Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion and Sentiment Classification -- Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer -- Data Centric Domain Adaptation for Historical Text with OCR Errors -- Temporal Ordering of Events via Deep Neural Networks -- Document Collection Visual Question Answering -- Dialogue Act Recognition using Visual Information -- Are End-to-End Systems Really Necessary for NER on Handwritten Document Images? -- Training Bi-Encoders for Word Sense Disambiguation -- DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction -- Consideration of the word's neighborhood in GATs for information extraction in semi-structured documents. 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 II [documento electrónico] / Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 873 p. 329 ilustraciones, 277 ilustraciones en color.
ISBN : 978-3-030-86331-9
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 Ingeniería Informática Red de computadoras Aprendizaje automático 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: análisis de documentos para búsqueda bibliográfica, resumen y traducción de documentos, análisis de documentos multimedia, reconocimiento de texto móvil, análisis de documentos para el bien social, indexación y recuperación de documentos, análisis de diseño físico y lógico, reconocimiento de tablas. y fórmulas, y procesamiento del lenguaje natural (NLP) para la comprensión de documentos. Nota de contenido: Document Analysis for Literature Search -- Towards Document Panoptic Segmentation with Pinpoint Accuracy: Method and Evaluation -- A Math Formula Extraction and Evaluation Framework for PDF Documents -- Toward Automatic Interpretation of 3D Plots -- Document Summarization and Translation -- Can Text Summarization Enhance the Headline Stance Detection Task? Benefits and Drawbacks -- The Biased Coin Flip Process for Nonparametric Topic Modeling.-CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-Document Summarization -- RTNet: An End-to-End Method for Handwritten Text Image Translation -- NTable: A Dataset for Camera-based Table Detection -- Multimedia document analysis -- Label Selection Algorithm Based on Boolean Interpolative Decomposition with Sequential Backward Selection for Multi-label Classification -- GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers -- C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis -- LSTMVAEF: Vivid Layout via LSTM-based Variational Autoencoder Framework -- Mobile Text Recognition -- HCRNN: A Novel Architecture for Fast Online Handwritten Stroke Classification -- RFDoc: memory efficient local descriptors for ID documents localization and classification -- Dynamic Receptive Field Adaptation for Attention-Based Text Recognition -- Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition -- MIDV-LAIT: a challenging dataset for recognition of IDs with Perso-Arabic, Thai, and Indian scripts,. Determining optimal frame processing strategies for real-time document recognition systems -- Document Analysis for Social Good -- Embedded Attributes for Cuneiform Sign Spotting -- Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach -- Two-Step Fine-Tuned Convolutional Neural Networks for Multi-Label Classification of Children's Drawings -- DCINN: Deformable Convolution and Inception Based Neural Network for Tattoo Text Detection through Skin Region -- Sparse Document Analysis using Beta-Liouville Naive Bayes with Vocabulary Knowledge -- Automatic Signature-based Writer Identification in Mixed-script Scenarios -- Indexing and Retrieval of Documents -- Indexing and Retrieval of Documents -- Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting -- A-VLAD: An End-to-End Attention-based Neural Network for Writer Identification in Historical Documents -- Manga-MMTL: multimodal multitask transfer learning for manga character analysis -- Probabilistic Indexing and Search for Hyphenated Words -- Physical and Logical Layout Analysis -- SandSlide: Automatic Slideshow Normalization -- Digital Editions as Distant Supervision for Layout Analysis of Printed Books -- Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts -- Page Layout Analysis System for Unconstrained Historic Documents -- Improved Graph Methods for Table Layout Understanding -- Unsupervised learning of text line segmentation by differentiating coarse patterns -- Recognition of Tables and Formulas -- Rethinking Table Structure Recognition Using Sequence Labeling Methods -- TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables -- Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer -- TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition -- An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-Head Attention and Stacked Decoder -- Global Context for improving recognition of Online Handwritten Mathematical Expressions -- Image-based Relation Classification Approach for Table Structure Recognition -- Image to LaTeX with Graph Neural Network for Mathematical Formula Recognition -- NLP for Document Understanding -- A Novel Method for AutomatedSuggestion of Similar Software Incidents using 2-Stage Filtering: Findings on Primary Data -- Research on pseudo-label technology for multi-label news classification -- Information Extraction from Invoices -- Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion and Sentiment Classification -- Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer -- Data Centric Domain Adaptation for Historical Text with OCR Errors -- Temporal Ordering of Events via Deep Neural Networks -- Document Collection Visual Question Answering -- Dialogue Act Recognition using Visual Information -- Are End-to-End Systems Really Necessary for NER on Handwritten Document Images? -- Training Bi-Encoders for Word Sense Disambiguation -- DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction -- Consideration of the word's neighborhood in GATs for information extraction in semi-structured documents. 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
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
Título : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part IV 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: XX, 799 p. 312 ilustraciones, 240 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86337-1 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) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación 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: detección y reconocimiento de textos de escenas, clasificación de documentos, conjuntos de datos y puntos de referencia de referencia, análisis de documentos históricos y reconocimiento de escritura a mano. Además, el volumen contiene resultados de 13 concursos científicos celebrados durante ICDAR 2021. Nota de contenido: Scene Text Detection and Recognition -- HRRegionNet: Chinese Character Segmentation in Historical Documents with Regional Awareness -- Fast Text v. Non-text Classification of Images -- Mask Scene Text Recognizer -- Rotated Box Is Back: An Accurate Box Proposal Network for Scene Text Detection -- Heterogeneous Network Based Semi-supervised Learning For Scene Text Recognition -- Scene Text Detection with Scribble Line -- EEM: An End-to-end Evaluation Metric for Scene Text Detection and Recognition -- SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models -- Fast Recognition for Multidirectional and Multi-Type License Plates with 2D Spatial Attention -- A Multi-level Progressive Rectification Mechanism for Irregular Scene Text Recognition -- Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition -- FEDS - Filtered Edit Distance Surrogate -- Bidirectional Regression for Arbitrary-Shaped Text Detection -- Document Classification -- VML-HP: Hebrew paleography dataset -- Open Set Authorship Attribution toward Demystifying Victorian Periodicals -- A More Effective Sentence-Wise Text Segmentation Approach using BERT -- Data Augmentation for Writer Identification Using a Cognitive Inspired Model -- Key-guided Identity Document Classification Method by Graph Attention Network -- Document Image Quality Assessment via Explicit Blur and Text Size Estimation -- Analyzing the potential of Zero-Shot Recognition for Document Image Classification -- Gender Detection Based on Spatial Pyramid Matching -- EDNets: Deep Feature Learning for Document Image Classification based on Multi-view Encoder-Decoder Neural Networks -- Fast End-to-end Deep Learning Identity Document Detection, Classification and Cropping -- Gold-Standard Benchmarks and Data Sets -- Image Collation: Matching illustrations in manuscripts -- Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation.-A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes -- GNHK: A Dataset for English Handwriting in the Wild -- Personalizing Handwriting Recognition Systems with Limited User-Specific Samples -- An Efficient Local Word Augment Approach for Mongolian Handwritten Script Recognition -- IIIT-INDIC-HW-WORDS: A Dataset for Indic Handwritten Text Recognition -- Historical Document Analysis -- AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions -- TS-Net: OCR Trained to Switch Between Text Transcription Styles -- Handwriting Recognition with Novelty -- Vectorization of Historical Maps Using Deep Edge Filtering and Closed Shape Extraction -- Data Augmentation Based on CycleGAN for Improving Woodblock-printing Mongolian Words Recognition -- SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization -- Handwriting Recognition -- Recognizing Handwritten Chinese Texts with Insertion and Swapping Using A Structural AttentionNetwork -- Strikethrough Removal From Handwritten Words Using CycleGANs -- Iterative Weighted Transductive Learning for Handwriting Recognition -- Competition Reports -- ICDAR 2021 Competition on Scientific Literature Parsing -- ICDAR 2021 Competition on Historical Document Classification -- ICDAR 2021 Competition on Document Visual Question Answering -- ICDAR 2021 Competition on Scene Video Text Spotting -- ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment -- ICDAR 2021 Competition on Components Segmentation Task of Document Photos -- ICDAR 2021 Competition on Historical Map Segmentation -- ICDAR 2021 Competition on Time-Quality Document Image Binarization -- ICDAR 2021 Competition on On-Line Signature Verification -- ICDAR 2021 Competition on Script Identification in the Wild -- ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX -- ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes -- ICDAR 2021 Competition on Mathematical Formula Detection. 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 IV [documento electrónico] / Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 799 p. 312 ilustraciones, 240 ilustraciones en color.
ISBN : 978-3-030-86337-1
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) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación 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: detección y reconocimiento de textos de escenas, clasificación de documentos, conjuntos de datos y puntos de referencia de referencia, análisis de documentos históricos y reconocimiento de escritura a mano. Además, el volumen contiene resultados de 13 concursos científicos celebrados durante ICDAR 2021. Nota de contenido: Scene Text Detection and Recognition -- HRRegionNet: Chinese Character Segmentation in Historical Documents with Regional Awareness -- Fast Text v. Non-text Classification of Images -- Mask Scene Text Recognizer -- Rotated Box Is Back: An Accurate Box Proposal Network for Scene Text Detection -- Heterogeneous Network Based Semi-supervised Learning For Scene Text Recognition -- Scene Text Detection with Scribble Line -- EEM: An End-to-end Evaluation Metric for Scene Text Detection and Recognition -- SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models -- Fast Recognition for Multidirectional and Multi-Type License Plates with 2D Spatial Attention -- A Multi-level Progressive Rectification Mechanism for Irregular Scene Text Recognition -- Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition -- FEDS - Filtered Edit Distance Surrogate -- Bidirectional Regression for Arbitrary-Shaped Text Detection -- Document Classification -- VML-HP: Hebrew paleography dataset -- Open Set Authorship Attribution toward Demystifying Victorian Periodicals -- A More Effective Sentence-Wise Text Segmentation Approach using BERT -- Data Augmentation for Writer Identification Using a Cognitive Inspired Model -- Key-guided Identity Document Classification Method by Graph Attention Network -- Document Image Quality Assessment via Explicit Blur and Text Size Estimation -- Analyzing the potential of Zero-Shot Recognition for Document Image Classification -- Gender Detection Based on Spatial Pyramid Matching -- EDNets: Deep Feature Learning for Document Image Classification based on Multi-view Encoder-Decoder Neural Networks -- Fast End-to-end Deep Learning Identity Document Detection, Classification and Cropping -- Gold-Standard Benchmarks and Data Sets -- Image Collation: Matching illustrations in manuscripts -- Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation.-A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes -- GNHK: A Dataset for English Handwriting in the Wild -- Personalizing Handwriting Recognition Systems with Limited User-Specific Samples -- An Efficient Local Word Augment Approach for Mongolian Handwritten Script Recognition -- IIIT-INDIC-HW-WORDS: A Dataset for Indic Handwritten Text Recognition -- Historical Document Analysis -- AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions -- TS-Net: OCR Trained to Switch Between Text Transcription Styles -- Handwriting Recognition with Novelty -- Vectorization of Historical Maps Using Deep Edge Filtering and Closed Shape Extraction -- Data Augmentation Based on CycleGAN for Improving Woodblock-printing Mongolian Words Recognition -- SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization -- Handwriting Recognition -- Recognizing Handwritten Chinese Texts with Insertion and Swapping Using A Structural AttentionNetwork -- Strikethrough Removal From Handwritten Words Using CycleGANs -- Iterative Weighted Transductive Learning for Handwriting Recognition -- Competition Reports -- ICDAR 2021 Competition on Scientific Literature Parsing -- ICDAR 2021 Competition on Historical Document Classification -- ICDAR 2021 Competition on Document Visual Question Answering -- ICDAR 2021 Competition on Scene Video Text Spotting -- ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment -- ICDAR 2021 Competition on Components Segmentation Task of Document Photos -- ICDAR 2021 Competition on Historical Map Segmentation -- ICDAR 2021 Competition on Time-Quality Document Image Binarization -- ICDAR 2021 Competition on On-Line Signature Verification -- ICDAR 2021 Competition on Script Identification in the Wild -- ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX -- ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes -- ICDAR 2021 Competition on Mathematical Formula Detection. 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
