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Big Visual Data Analysis: Scene Classification and Geometric Labeling (SpringerBriefs in Electrical and Computer Engineering) book cover by Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
Paperback

Big Visual Data Analysis: Scene Classification and Geometric Labeling (SpringerBriefs in Electrical and Computer Engineering)

by Chen Chen, Yuzhuo Ren and C.-C. Jay Kuo

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Paperback · 122 pages Springer Nature Singapore · 2016

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About the book

Big Visual Data Analysis

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.

Details

Publisher
Springer Nature Singapore
Authors
Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
Format
Paperback
Published
Mar 3, 2016
ISBN-13
9789811006296
Pages
122
Printing
Printed on demand
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