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008			230325s2021 sz | s |||| 0|eng d
020			_a9783031026096
024	7		_a10.1007/978-3-031-02609-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.I52 _b2021 EB
100	1		_aBekos, Michael A. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687552
245	1	0	_aExternal Labeling : _bFundamental Concepts and Algorithmic Techniques _cby Michael A. Bekos, Benjamin Niedermann, Martin Nöllenburg
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XV, 114 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Visualization _x2159-5178
505	0		_aBibliography -- 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			_aThis 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.
988			_aSynthesis Collection of Technology_2021
650		7	_2embne _9145622 _aSistemas de visualización de información
650		7	_2embne _9149816 _aDiseño gráfico
650		7	_2embne _9145705 _aOptimización matemática
700	1		_aNiedermann, Benjamin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687553
700	1		_aNöllenburg, Martin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687554
776	0	8	_iPrinted edition: _z9783031003530
776	0	8	_iPrinted edition: _z9783031014819
776	0	8	_iPrinted edition: _z9783031037375
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02609-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eIG _zSI