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portada Big Visual Data Analysis: Scene Classification and Geometric Labeling (Springerbriefs in Electrical and Computer Engineering) (in English)
Type
Physical Book
Publisher
Author
Year
2016
Language
English
Pages
122
Format
Paperback
ISBN13
9789811006296
Edition No.
1

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

Chen Chen (Author) · Springer · Paperback

Big Visual Data Analysis: Scene Classification and Geometric Labeling (Springerbriefs in Electrical and Computer Engineering) (in English) - Chen Chen

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Synopsis "Big Visual Data Analysis: Scene Classification and Geometric Labeling (Springerbriefs in Electrical and Computer Engineering) (in 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.

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The book is written in English.
The binding of this edition is Paperback.

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