Téléchargez le livre : Big Visual Data Analysis

Big Visual Data Analysis

Scene Classification and Geometric Labeling de

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Éditeur :

Springer


Collection :

SpringerBriefs in Electrical and Computer Engineering

Paru le : 2016-02-24

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Description
This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks.
Pages
122 pages
Collection
SpringerBriefs in Electrical and Computer Engineering
Parution
2016-02-24
Marque
Springer
EAN papier
9789811006296
EAN PDF
9789811006319
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
10476 Ko
Prix
52,74 €
EAN EPUB
9789811006319
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
7199 Ko
Prix
52,74 €

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