001439551 000__ 08573cam\a2200661\i\4500 001439551 001__ 1439551 001439551 003__ OCoLC 001439551 005__ 20230309004434.0 001439551 006__ m\\\\\o\\d\\\\\\\\ 001439551 007__ cr\cn\nnnunnun 001439551 008__ 210910s2021\\\\sz\a\\\\o\\\\\101\0\eng\d 001439551 020__ $$a9783030863319$$q(electronic bk.) 001439551 020__ $$a303086331X$$q(electronic bk.) 001439551 020__ $$z9783030863302 001439551 0247_ $$a10.1007/978-3-030-86331-9$$2doi 001439551 035__ $$aSP(OCoLC)1267709586 001439551 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001439551 049__ $$aISEA 001439551 050_4 $$aTA1630$$b.I58 2021 001439551 08204 $$a006.4/2$$223 001439551 1112_ $$aInternational Conference on Document Analysis and Recognition$$n(16th :$$d2021 :$$cLausanne, Switzerland ; Online) 001439551 24510 $$aDocument analysis and recognition - ICDAR 2021 :$$b16th international conference, Lausanne, Switzerland, September 5-10, 2021 : proceedings.$$nPart II /$$cJosep Lladós, Daniel Lopresti, Seiichi Uchida (eds.). 001439551 24630 $$aICDAR 2021 001439551 264_1 $$aCham :$$bSpringer,$$c[2021] 001439551 264_4 $$c©2021 001439551 300__ $$a1 online resource (xx, 873 pages) :$$billustrations (chiefly color) 001439551 336__ $$atext$$btxt$$2rdacontent 001439551 337__ $$acomputer$$bc$$2rdamedia 001439551 338__ $$aonline resource$$bcr$$2rdacarrier 001439551 4901_ $$aLecture notes in computer science ;$$v12822 001439551 4901_ $$aLNCS sublibrary: SL6 - Image processing, computer vision, pattern recognition, and graphics 001439551 500__ $$aInternational conference proceedings. 001439551 500__ $$aIncludes author index. 001439551 5050_ $$aDocument 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 Automated Suggestion 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. 001439551 506__ $$aAccess limited to authorized users. 001439551 520__ $$aThis 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: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding. 001439551 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 10, 2021). 001439551 650_0 $$aOptical data processing$$vCongresses. 001439551 650_0 $$aDocument imaging systems$$vCongresses. 001439551 650_0 $$aText processing (Computer science)$$vCongresses. 001439551 650_6 $$aTraitement optique de l'information$$vCongrès. 001439551 650_6 $$aGestion électronique de documents$$vCongrès. 001439551 650_6 $$aTraitement de texte$$vCongrès. 001439551 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001439551 655_7 $$aConference papers and proceedings.$$2lcgft 001439551 655_7 $$aActes de congrès.$$2rvmgf 001439551 655_0 $$aElectronic books. 001439551 7001_ $$aLladós, Josep,$$d1968-$$eeditor. 001439551 7001_ $$aLopresti, Daniel Philip,$$eeditor. 001439551 7001_ $$aUchida, Seiichi,$$eeditor. 001439551 830_0 $$aLecture notes in computer science ;$$v12822. 001439551 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics. 001439551 852__ $$bebk 001439551 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86331-9$$zOnline Access$$91397441.1 001439551 909CO $$ooai:library.usi.edu:1439551$$pGLOBAL_SET 001439551 980__ $$aBIB 001439551 980__ $$aEBOOK 001439551 982__ $$aEbook 001439551 983__ $$aOnline 001439551 994__ $$a92$$bISE