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