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Big Visual Data Analysis
Hoofdkenmerken
Auteur: Chen Chen; Yuzhuo Ren; C.-C. Jay Kuo
Titel: Big Visual Data Analysis
Uitgever: Springer Nature
ISBN: 9789811006319
ISBN boekversie: 9789811006296
Prijs: € 65.93
Verschijningsdatum: 24-02-2016
Inhoudelijke kenmerken
Categorie: Graphic Methods
Taal: English
Imprint: Springer
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

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.
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