Big Visual Data Analysis

Scene Classification and Geometric Labeling

Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics
Cover of the book Big Visual Data Analysis by Chen Chen, C.-C. Jay Kuo, Yuzhuo Ren, Springer Singapore
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Author: Chen Chen, C.-C. Jay Kuo, Yuzhuo Ren ISBN: 9789811006319
Publisher: Springer Singapore Publication: February 24, 2016
Imprint: Springer Language: English
Author: Chen Chen, C.-C. Jay Kuo, Yuzhuo Ren
ISBN: 9789811006319
Publisher: Springer Singapore
Publication: February 24, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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