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External Labeling: Fundamental Concepts and Algorithmic Techniques, Bekos Michael A., Niedermann Benjamin, Nцllenburg Martin


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Автор: Bekos Michael A., Niedermann Benjamin, Nцllenburg Martin
Название:  External Labeling: Fundamental Concepts and Algorithmic Techniques
ISBN: 9781636392066
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1636392067
Обложка/Формат: Hardback
Страницы: 130
Вес: 0.44 кг.
Дата издания: 30.07.2021
Серия: Synthesis lectures on visualization
Язык: English
Размер: 23.50 x 19.05 x 0.89 cm
Читательская аудитория: Professional and scholarly
Ключевые слова: Computer science,Information technology: general issues,Information visualization, COMPUTERS / Data Processing,COMPUTERS / Data Visualization,COMPUTERS / Information Theory
Подзаголовок: Fundamental concepts and algorithmic techniques
Рейтинг:
Поставляется из: Англии
Описание:

This book focuses 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.




External Labeling: Fundamental Concepts and Algorithmic Techniques

Автор: Bekos Michael A., Niedermann Benjamin, Nцllenburg Martin
Название: External Labeling: Fundamental Concepts and Algorithmic Techniques
ISBN: 1636392040 ISBN-13(EAN): 9781636392042
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 8039.00 р.
Наличие на складе: Нет в наличии.

Описание:

This book focuses 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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