External Labeling : Fundamental Concepts and Algorithmic Techniques / by Michael A. Bekos, Benjamin Niedermann, Martin Nöllenburg
By: Bekos, Michael A., autor
Contributor(s): Niedermann, Benjamin, autor
| Nöllenburg, Martin, autor
Material type:
E-bookSeries: (Synthesis Lectures on Visualization, 2159-5178).Publisher: Cham : Springer International Publishing, 2021Edition: 1st edition 2021.Description: 1 recurso en línea (XV, 114 páginas).ISBN: 9783031026096.Subject: Sistemas de visualización de información
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.I52 2021 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01112820 |
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| QA76.9 .I52 2020 EB Data visualization and knowledge engineering spotting data points with artificial intelligence | QA76.9 .I52 2020 EB Linked Data Visualization : Techniques, Tools, and Big Data | QA76.9 .I52 2021 EB Web Data APIs for Knowledge Graphs : Easing Access to Semantic Data for Application Developers | QA76.9.I52 2021 EB External Labeling : Fundamental Concepts and Algorithmic Techniques | QA76.9.I52 2022 EB Multilayer Networks: Analysis and Visualization : Introduction to muxViz with R | QA76.9.I52 2022 EB Knowledge Graphs | QA76.9.I52 C366 2016 EB Introduction to Text Visualization |
Bibliography -- Preface -- Acknowledgments -- Figure Credits -- Introduction -- A Unified Taxonomy -- Visual Aspects of External Labeling -- Labeling Techniques -- External Labelings with Straight-Line Leaders -- External Labelings with Polyline Leaders -- Conclusions and Outlook -- Bibliography -- Authors' Biographies -- Index .
This book focusses on techniques for automating the procedure of creating external labelings, also known as callout labelings. In this labeling type, the features within an illustration are connected by thin leader lines (called leaders) with their labels, which are placed in the empty space surrounding the image. In general, textual labels describing graphical features in maps, technical illustrations (such as assembly instructions or cutaway illustrations), or anatomy drawings are an important aspect of visualization that convey information on the objects of the visualization and help the reader understand what is being displayed. Most labeling techniques can be classified into two main categories depending on the "distance" of the labels to their associated features. Internal labels are placed inside or in the direct neighborhood of features, while external labels, which form the topic of this book, are placed in the margins outside the illustration, where they do not occlude the illustration itself. Both approaches form well-studied topics in diverse areas of computer science with several important milestones. The goal of this book is twofold. The first is to serve as an entry point for the interested reader who wants to get familiar with the basic concepts of external labeling, as it introduces a unified and extensible taxonomy of labeling models suitable for a wide range of applications. The second is to serve as a point of reference for more experienced people in the field, as it brings forth a comprehensive overview of a wide range of approaches to produce external labelings that are efficient either in terms of different algorithmic optimization criteria or in terms of their usability in specific application domains. The book mostly concentrates on algorithmic aspects of external labeling, but it also presents various visual aspects that affect the aesthetic quality and usability of external labeling.
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