| TÃtulo : |
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 IngenierÃa Informática Red de computadoras Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos IngenierÃa Informática y Redes Procesamiento del lenguaje natural (PNL) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación |
| Ãndice 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 artÃculos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artÃculos 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 cientÃficos 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Scene Text Detection and Recognition -- HRRegionNet: Chinese Character Segmentation in Historical Documents with Regional Awareness -- Fast Text v. Non-text Classification of Images -- Mask Scene Text Recognizer -- Rotated Box Is Back: An Accurate Box Proposal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 lÃnea: |
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 IngenierÃa Informática Red de computadoras Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos IngenierÃa Informática y Redes Procesamiento del lenguaje natural (PNL) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación |
| Ãndice 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 artÃculos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artÃculos 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 cientÃficos 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 lÃnea: |
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
