External Labeling (Record no. 85209)

000 -LEADER
fixed length control field 04485nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-031-02609-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164014.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031026096
-- 978-3-031-02609-6
082 04 - CLASSIFICATION NUMBER
Call Number 001.4226
100 1# - AUTHOR NAME
Author Bekos, Michael A.
245 10 - TITLE STATEMENT
Title External Labeling
Sub Title Fundamental Concepts and Algorithmic Techniques /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 114 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Visualization,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 .
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Niedermann, Benjamin.
700 1# - AUTHOR 2
Author 2 Nöllenburg, Martin.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02609-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information visualization.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data structures (Computer science).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data and Information Visualization.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Structures and Information Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2159-5178
912 ## -
-- ZDB-2-SXSC

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