Document Analysis and Recognition ICDAR 2021: 16th International Conference, L [Paperback]

This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16^th 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.

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 SlÃê